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Control Theory and Informatics                                                                           www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012



      Structural Design and Non-linear Modeling of a Highly Stable
                         Multi-Rotor Hovercraft
                                         Ali Shahbaz Haider1* Muhammad Sajjad2
    1.   Department of Electrical Engineering, COMSATS Institute of Information Technology, PO Box 47040, Wah
         Cantt, Pakistan
    2.   Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan
    * E-mail of the corresponding author: engralishahbaz@gmail.com


Abstract
This paper presents a new design for a Multi-rotor Unmanned Air Vehicle (UAV). The design is based on the
requirement of highly stable hover capability other than typical requirements of vertical takeoff and landing (VTOL),
forward and sidewise motions etc. Initially a typical Tri-rotor hovercraft is selected for modeling and analysis. Then
design modifications are done to improve the hover stability, with special emphasis on compensating air drag
moments that exist at steady state hover. The modified structure is modeled and dynamic equations are derived for it.
These equations are analyzed to verify that our structural modifications have the intended stability improvement
effect during steady state hover.
Keywords: Multi-rotor Crafts, T-Copter, Rotational Matrix, Pseudo Inertial Matrix, Coriolis Acceleration, Air drag
moment, Swash Plate


1. Introduction
The term UAV is used interchangeably with terms Auto Pilots or Self Piloted air craft’s. UAVs are Unmanned Air
Vehicles that can perform autonomous maneuvers hence are auto pilot based. They have got applications in military
perspective as well as in civilian purposes. They are used for various functions such as surveillance, helicopter path
inspection, disaster monitoring and land sliding observation, data and image acquisition of targets etc. (Salazar 2005,
Jaimes 2008, Dong etc 2010 and Penghui 2010).This is the era of research and development of mini flying robot that
may also act as a prototype for the controller design of bigger rotor crafts. Multi Rotor crafts have a lot of advantages
over air planes and helicopter; they do not have swash plate and do not need any runway. Changing the speeds of
motors with respect to each other, results in changing the flight direction of Multi rotors. They employ fixed pitch
propellers, so are much cheaper and easy to control (Soumelidis 2008, Oosedo 2010 and Lee 2011). This research
paper comprises of our work corresponding to tri rotor UAV Structure selection. There are various configurations
possible as shown in figure 1. We have chosen the Tee structure, known as T-Copter. It has its own merit of
somewhat decoupled dynamics in six degree of freedom as compared to other possible structures; moreover it is a
challenging system to be modeled and controlled (Salazar 2005). we would show that replacing the tail rotor servo,
which is used in most of the existing T-copter designs (Salazar 2005, Jaimes 2008, Dong 2010 and Penghui 2010),
with air drag counter moment assembly has resulted in a much more simple model and precise control on the hover
making the yaw control decoupled and independent.


2. T-Copter Dynamic Modeling
Structure of a typical tri-rotor hovercraft is shown in figure 2. It has two main rotors namely A and B and one tail
rotor C. Roll  , pitch  and yaw are defined in figure 3. In this typical configuration, tail rotor is at a tilt angle
 which is adjustable by some sort of servo mechanism (Salazar 2005). This is usually done to have a component
of force F3 in E1E2-plane to compensate for net air drag moment in hovercraft body as explained in sections to follow.
But this configuration has a severe drawback that it results in an acceleration of the body even in steady state. So first
of all we would model structure of figure 2, then we will modify the structure so that we eliminate this effect,
resulting in stable hover.

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Control Theory and Informatics                                                                                                                www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012


2.1 Symbols and Terms
Various symbols and terms used in the structure T-Copter in figure 2 and in its modeling equations, as described
ahead, are enlisted below.
      =Real Space,  =roll,  =Pitch,  =yaw, M=mass of each rotor,  =angular velocity
                                                                              33                                  33
m=mass of entire Hovercraft Structure,                                            =Pseudo inertial matrix, R          =Rotational matrix
  E1 , E2 , E3  =Body Frame of Reference,   Ex , E y , Ez  =Inertial Frame of Reference
C.G. =center of gravity of Hovercraft body
 ( x, y , z ) 
                    3
                        =position of C.G in                  
 ( ,  , ) 
                        3
                            =Angular displacement vector of hovercraft body
  j
      =lengths of respective sides of hovercraft body
F            =force vector in  ,                         =torque vector, Fi =Force vector of the ith rotor
          3                                              3



      
          3
              =parasitic moment term in system dynamics
      
          3
              =parasitic acceleration term in system dynamics
2.2 Newton-Euler’s equations
Newton-Euler’s equations govern the dynamics of general multi rotor hovercrafts (Atul 1996, Francis 1998 and
Barrientos 2009). These equations describe the dynamics of body in inertial frame of reference. These equations are
as follows,

                                d 2
                            m                 R33 F31  mg Ez                        31
                                                                                               (b , i , rj )
                                dt 2   31
                                                                             31

                                                                                                                                       (1)
                                    d 2
                         33                      31        31
                                                                       (b , i , rj )
                                    dt 2   31



Where:    x y z  ,       and Ez   0                                                1
                                T                            T                                     T
                                                                                         0
In the following sub sections we explain various terms within these equations, develop these equations for typical
T-Copter. Then we would modify this structure so that resulting dynamic equations of modified structure are simple
and well controllable.


2.2.1. Force Vector F
Forces on the structure in  frame are shown in figure 4 in E 2 E 3 -plane. So the force vector comes out to be,
F  0 F3 sin                         F1  F2  F3 cos  
                                          T




2.2.2 Rotational Matrix
Force vector F in Newton-Euler’s equations is described with respect to body frame of reference  . In order to
translate this vector in inertial frame of reference, a transformation matrix is needed, which is known as rotational
matrix. Since body can perform three rotations with respect to inertial frame of reference, we have a possible of six
rotational matrices R , R , R , R , R , R .Out of the six of these possible transformation matrices; we
select the standard one namely R and denote it by R. This rotational matrix is given by,




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Control Theory and Informatics                                                                                                                       www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012


                            cos cos                      sin cos                                                              sin  
                    
                R  cos sin  sin   sin cos  sin sin  sin   cos cos                                                 cos  sin  
                                                                                                                                            
                    cos sin  sin   sin cos  sin sin  sin   cos cos 
                                                                                                                               cos  cos  
                                                                                                                                            


2.2.3 Parasitic forces vector
This vector includes the effects of centripetal and centrifugal acceleration of the structure and propellers. It also
includes Coriolis acceleration terms.


2.2.4 Pseudo Inertial Matrix
Pseudo inertial matrix is a diagonal matrix of form,

                                                            I roll              0               0 
                                                          0
                                                                             I pitch
                                                                                                   
                                                                                                 0 
                                                            0
                                                                                0           I yaw 
                                                                                                   
 Iroll Is moment of inertia of T-Copter for rotation around E1 axis. Ipitch is moment of inertia of T-Copter for rotation
around E 2 axis. Iyaw is moment of inertia of T-Copter for rotation around E 3 axis. Our structure is made up of
cylindrical shells of radius “R”. For a cylindrical shell of figure 5 with M =mass of the shell, the principle moment of
inertia are given by,
                 I xx  M ((3r 2  2h2 ) / 6)  M d 2 ,                I yy  M ((3r 2  2h2 ) / 6)  M d 2 ,                       I zz  3r 2

2.2.3.1. Moment of Inertia of T Structure
Now we derive the moment of inertia of the T structure of figure 6 during roll, pitch and yaw. The moment of inertia of
the T structure during Roll i.e. rotation across E1 axis, as shown in figure 7.A, is denoted by IE1, T . Using the results
of multi body dynamics, it is sum of moment of inertia of shell 1 around E1 axis IE1, S 1 and shell 2 around E1
axis IE1, S 2 .
                                                             I E1,T  I E1, S 1   I E1, S 2 
If ms1 and ms2 are masses of shell1 and shell2 then we get the following expression using parallel axis theorem,
                                                                         
                                  I E1,T  I E1, S 1  I E1, S 2   mS 1 R
                                                                                     2
                                                                                           m   S2
                                                                                                       R / 2  mS 2l2 / 3
                                                                                                        2           2
                                                                                                                            
The moment of inertia of the T structure during pitch i.e. rotation across E2 axis, as shown in figure 7.B, is denoted
by I E 2,T .
                                                                                 3          3
                                                                                                               
             I E 2,T  I E 2, S 1  I E 2, S 2   mS 1 R / 2  mS 1 (l3  l1 ) / (3(l1  l4 ))  mS 2 R  mS 2l4 
                                                                2
                                                                                                                      
                                                                                                                                2            2
                                                                                                                                                 
The moment of inertia of the T structure during yaw i.e. rotation across E3 axis, as shown in figure 7.C, is denoted
by I E 3,T .
                                                                            3           3
                                                                                                             
     I E 3,T  I E 3, S 1  I E 3, S 2   I E 3,T  mS 1 R / 2  mS 1 (l1  l3 ) / (3(l1  l3 ))  mS 2 R / 2  mS 2 l2 / 3  [mS 2 l4 ]
                                                         2                                                              2                2                2
                                                                                                                                                              
2.2.3.2. Moment of Inertia of Motors
Motors are assumed to be solid cylinder of length Imot , radius Rmot and masses mmot . During roll the situation is
shown in figure 8.A. Moment of inertia of three motors during roll are given below,
               I Mot1, roll  mMot RMot 2 / 4  mMot lMot / 3, I Mot 2,roll  mMot RMot 2 / 4  mMot lMot / 3  [mMot l22 ]
                                                         2                                             2


                                          I Mot 3,roll  mMot RMot 2 / 4  mMot lMot / 3  [mMot l23 ]
                                                                                 2                2




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ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012

During pitch the situation is shown in figure 8.B. Moment of inertia of three motors during pitch are given below,
               I Mot 1, pitch  mMot RMot / 4  mMot lMot / 3  [mMot l3 ], I Mot 2, pitch  mMot RMot / 4  mMot lMot / 3  [mMot l4 ]
                                        2                      2                  2                                           2                      2                2



                                               I Mot 3, pitch  mMot RMot / 4  mMot lMot / 3  [mMot l4 ]
                                                                              2                           2                       2



During yaw the situation is shown in figure 8.C. Moment of inertia of three motors during yaw are given below,
           I Mot 1, yaw  mMot RMot / 2  [mMot l3 ], I Mot 2, yaw  mMot RMot / 2  [mMot                            ], I Mot 2, yaw  mMot RMot / 2  [mMot
                                  2                     2                                 2                       2                                      2                    2
                                                                                                                                                                             
                                                                                                                                                                                  ]


2.2.3.3. Moment of Inertia of the Control Unit Rack
Control unit rack holds the batteries, sensors and electronics boards etc. It is assumed to be in the form of a
parallelepiped as shown in the figure 9. Its mass, including all parts placed in it, is mrack . During roll, pitch and yaw,
moment of inertia of rack are given to be.
I Rack , roll  m ( a  4c ) / 12, I Rack , pitch  m (b  4c ) / 12  m l
            Rack
                   2      2

                                                            Rack
                                                                   2      2
                                                                                                  2

                                                                                              Rack rack
                                                                                                          ,   I Rack , yaw  m ( a  b ) / 12  m l
                                                                                                                                      Rack
                                                                                                                                             2       2
                                                                                                                                                                     2

                                                                                                                                                                 Rack rack
                                                                                                                                                                              
2.2.3.4. Diagonal Elements of Pseudo Inertial Matrix
Results of multi body dynamics show that moment of inertia T-Copter during roll i.e. Iroll is sum of moment of
inertia of all parts of T-Copter during roll. Same is true for pitch and yaw moment of inertia, hence,
                                              3                                                                         3
                         I roll  I E1,T   I Moti , roll  I Rack ,roll ,               I pitch  I E 2,T   I Moti , pitch  I Rack , pitch
                                             i 1                                                                      i 1
                                               3
                         I yaw  I E 3,T   I Moti , yaw  I Rack , yaw
                                             i 1




2.2.4. Nominal Torque Vector 
Figure 10 shows forces produced by propellers P 1, P2 and P3 on T-Copter body. Since torque is product of force and
moment arm, so from figure 10, nominal torque vector comes out to be,
                                         2 ( F2  F1 )               1 ( F1  F2 )                F3 cos           3 F3 sin  
                                                                                                                                                 T
                                                                                                   3




2.2.5. Parasitic Moment Vector
Parasitic moments’ vector contains all those moments that creep into the structure as a by-product of desirable
moments. They are inevitable. Brief introduction of these moments is given in following sub sections. Expression
for given by,
                                                                     g   d   f   ic , where,
 g =Gyroscopic moment,  d =Air Drag moment,  f =Frictional moment,  ic =Inertial Counter moment


2.2.5.1. Gyroscopic Moment
Consider figure 11 in which a rotating wheel is subjected to an angular acceleration d / dt . It results in a gyroscopic
moment orthogonal to both angular acceleration vector and angular velocity vector of rotating wheel. Expression for
gyroscopic moment is given by,
                                                                       g  I   (d / dt )
Gyroscopic moment is produced due to rotating propellers and rotors. If Ipc is moment is inertia of rotor and propeller
then gyroscopic moment vector, as denoted by M g , is given by,
               M g   M gp                  0  I pc (1  2  3 )d / dt                                        (1  2  3 )d / dt 0
                                                    T                                                                                                                     T

                                     M gr    

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ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012

Here Mgr is gyroscopic moment resulting from roll rate and Mgr is gyroscopic moment resulting from pitch rate.


2.2.5.2. Air Drag Moment
These moments are produces as propellers rotate and drag through air. They are typically taken to be proportional to
propellers’ angular velocity squared, directed counter to direction of rotation of propellers. Denoting air drag moments
by Q , we get the net air drag moment of the T-Copter, denoted by M d , to be,
                                                 M d  0 0 Q1  Q2  Q3 
                                                                                    T




2.2.5.3. Frictional Moments
Frictional moments are proportional to angular velocities. Frictional moment vector ( M f ), is given by,
                                             M f  k f  d / dt      d / dt   d / dt   
                                                                                          T




Where       k f =frictional constant

2.2.5.4. Inertial Counter moments
Inertial counter moment is proportional to rate of change of angular velocity of propellers. It acts only in yaw direction.
Net inertial counter moment vector is given by,
                                       M ic  I pc 0 0     d1 / dt  d2 / dt  d3 / dt 
                                                                                              T



Now the final expression for           is given by,

                   g   d   f   ic

                         (     )                                   
                                                                            
                                         




                         1 2 3                 0    
                                                                                       0
                                                                                                   
                                                                                             
                                                        k
                                                                           


                  I pc  (1  2  3 )  
                                                                                                               (2)
                                                   0                        I pc      0       
                                                        f                          
                                           Q  Q  Q 
                                             1 2 3                                1  2  3 
                                                                            


                                0                                                              
                                                                        
                                                                          
                                                                       

2.2.6. Developing Newton-Euler’s Equations
First of all we develop Newton’s Equation,

       d 
        2

   m        2
                 RF  mg E z 
       dt
     x                0                           0      x 
      y  R                       mg             0       
            2
       d
m 2                 F3 sin 
  dt                                                       
                                                                y


     z
             F1  F2  F3 cos  
                                                    1  
                                                               
                                                                z 



Letting     u z = F1  F2  F3 cos  and putting value of R vector, we get the results as,




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        2
      d x
m                u z sin    sin  cos   F sin  
      dt 2
                                                                     3                x



        2
      d y
m                u z cos  sin    sin  sin  sin   cos  cos   F3 sin                                                                                    (3)
      dt 2
                                                                                                                           y


        2
      d z
m                u z cos  cos   mg   sin  sin  sin   cos  cos   F sin  
      dt 2
                                                                                                                   3           z




Now we develop Euler’s Equation,

            d   
                2
                                                d
                                                     2
                                                                                              d   
                                                                                                   2
                                                                                                                                       d   
                                                                                                                                           2
        I           2
                        I                            2
                                                               I 1  I 1                          2
                                                                                                             I 1  I 1                    2
                                                                                                                                                    I 1  I 1
            dt                                  dt                                             dt                                      dt

Putting the values we get,
                                                1
         I                             0                                                I roll                   
                                                                                                                  1
                                     0                                   2
                                                                             ( F2  F1 )                               
                                                                                                 1                      
    2
d                                           
         0                         I     0                       ( F1  F2 )  3 F3 cos    I pitch
dt 2                                                         1
                                                                                               1                      

        0
                                  0     I  
                                                                        3 F3 sin           I yaw
                                                                                                                      
                                                                                                                          
Or,

d 2 1
                      2   ( F2  F1 )  I roll
                                             1
                                                         
dt 2 I
d 2 1                                                                                                                                                              (4)
       1 ( F1  F2 )                        F cos   +I pitch
                                               3 3
                                                             1
                                                                                  
dt 2 I
d 2   1
        3 F3 sin    I yaw
                            1
                                                              
dt 2  I

Near to stability i.e.   0;   0; d / dt  0; d / dt  0; d / dt  0 and neglecting transient disturbance terms,
Equation 2 becomes,
       0          0 Q1  Q2  Q3   0 0 Qnet 
                                                    T                                 T




Equation set 3 becomes,

      d 2x                                              d2y                                                d 2z
m                sin  F3 sin  , m                                 cos F3 sin  , m                            uz  mg  cos F3 sin                          (5)
      dt 2                                              dt 2                                               dt 2
Equation set 4 becomes,

d 2            1                                       d 2            1                                   d 2 1 
                     (F  F ) ,                                             1( F1  F2 )  3 F3 cos   ,          F sin    I yawQnet
                                                                                                                                       1
dt 2            I  2 2 1                                  dt 2        I                              
                                                                                                              dt 2 I  3 3      

                               (6)
Now it is evident from Equation set (5) and (6) that tail rotor tilt angle  ,that was introduced to compensate for Qnet
in equation set (6) has made accelerations in x, y and z directions dependent upon  in a non-linear fashion and has

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made the model much complicated to control even near to the steady state condition. Even at steady state, T-copter
body would accelerate in xy-plane, a fact evident from equation set (5). Hence results in failure to achieve stable hover.


2.2.7. Design Modification for Stable Hover
Since Qnet has comparatively very small magnitude, we can counter balance it by a small counter air drag couple by
two small motors’ set Mt , 1 and Mt , 2 as shown in the figure 12, and turn  =0. Two propellers of counter air drag
couple motor assembly are chosen to be of opposite pitch so they rotate in opposite direction with equal speed. This
would balance out their gyroscopic moments and air drag moments all the time. Moment of inertia for this counter air
drag couple motor assembly can easily be calculated during roll, pitch and yaw by the procedure described above.
Moment of inertia of this assembly can then be added in respective diagonal elements of Pseudo inertial matrix.


2.2.8. Developing Newton-Euler’s Equations for Modified T-Copter Structure
If the distance between motors Mt , 1 and Mt , 2 is t in figure 12 then moment produced by them has the
magnitude t Ft , which is counter to air drag moment. So Equation set (3) becomes,

    d2x                                           d2y                                            d 2z
m                 uz sin       x
                                       , m                u z cos  sin             y
                                                                                           , m           u z cos  cos   mg         z
                                                                                                                                                (7)
     dt 2                                         dt 2                                           dt 2

And equation set (4) becomes

d 2             1                                 d 2          1                                           d 2          1
                    (F  F )                                     ( F  F )  3 F3  +                                 F             (8)
                 I  2 2 1                                     I  1 1 2                                              I  t t 
     2                                       ,          2                                              ,        2                         
dt                                                 dt                                                        dt

An immense simplification in the structure dynamics is evident from equation sets (7) and (8) as compared to equation
sets (3) and (4). Most of the nonlinearities of previous model are eliminated. Linear accelerations have been made
decoupled from yaw angle as clear from equation set (7).Now we observe the behaviour near to steady state i.e.
  0;   0; d / dt  0; d / dt  0; d / dt  0
Neglecting transient disturbance terms, equation set (7) becomes,

         2                 2                        2
    d x                   d y                     d z
m                 0, m           0,         m           u z  mg                                                                             (9)
     dt 2                 dt 2                    dt 2
Equation set (8) becomes,

d 2 1                                  d 2 1                                             d 2  1
      2 ( F2  F1 ) ,                       1 ( F1  F2 )            3 F3  ,               t Ft   Qnet                             (10)
dt 2 I                                 dt 2 I                                            dt 2 I

So we see that our structural modification has resulted in an extremely stable model near to steady state which
is evident from equation sets (9), (10) as compared to equation set (5) and (6).


5. Conclusion
In typical Tri-rotor Hovercrafts, air drag moments of propellers are compensated by tilting the tail rotor through an
angle, by using some sort of servo mechanism. Such arrangement results in an unstable steady state hover and much
more complicated system dynamics. If tail rotor servo mechanism is replace by a cheap counter air drag couple motors’
assembly, we get immensely simple system dynamics and completely stable steady state hover.



                                                                                       30
Control Theory and Informatics                                                                      www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012

References
Atul Kelkar & Suresh Joshi (1996) Control of Nonlinear Multibody Flexible Space Structures,       Lecture Notes in
Control and Information Sciences, Springer-Verlag London Publications.
Barrientos, A.; Colorado, J. (22-26 June 2009). Miniature quad-rotor dynamics modeling & guidance for
vision-based target tracking control tasks. Advanced Robotics, 2009. ICAR 2009. International Conference on , vol.,
no., pp.1-6
Dong-Wan Yoo; Hyon-Dong Oh; Dae-Yeon Won; Min-Jea Tahk. (8-10 June 2010). Dynamic modeling and control
system design for Tri-Rotor UAV. Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd
International Symposium on , vol., no., pp.762-767
Francis C.Moon (1998) Applied Dynamics With Application to Multibody Systems,                Network Books,      A
Wiley-Interscience publications.
Jaimes, A.; Kota, S.; Gomez, J. (2-4 June 2008). An approach to surveillance an area using swarm of fixed wing and
quad-rotor unmanned aerial vehicles UAV(s). System of Systems Engineering, 2008. SoSE '08. IEEE International
Conference on , vol., no., pp.1-6
Lee, Keun Uk; Yun, Young Hun; Chang, Wook; Park, Jin Bae; Choi, Yoon Ho. (26-29 Oct. 2011). Modeling and
altitude control of quad-rotor UAV. Control, Automation and Systems (ICCAS), 2011 11th International Conference
on , vol., no., pp.1897-1902
Oosedo, A.; Konno, A.; Matumoto, T.; Go, K.; Masuko, K.; Abiko, S.; Uchiyama, M. (21-22 Dec. 2010). Design
and simulation of a quad rotor tail-sitter unmanned aerial vehicle. System Integration (SII), 2010 IEEE/SICE
International Symposium on , vol., no., pp.254-259
Penghui Fan; Xinhua Wang; Kai-Yuan Cai. (9-11 June 2010). Design and control of a tri-rotor aircraft. Control and
Automation (ICCA), 2010 8th IEEE International Conference on , vol., no., pp.1972-1977
Salazar-Cruz, S.; Lozano, R. (18-22 April 2005). Stabilization and nonlinear control for a novel Tri-rotor
mini-aircraft," Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference
on , vol., no., pp. 2612- 2617
Soumelidis, A.; Gaspar, P.; Regula, G.; Lantos, B. (25-27 June 2008). Control of an experimental mini quad-rotor
UAV. Control and Automation, 2008 16th Mediterranean Conference on , vol., no., pp.1252-1257




                                                        31
Control Theory and Informatics                                                                                www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012




            Figure 1. Possible Tri-rotor Craft Structures (structures’ topological names are indicated)


                                                                                              E3
                                                                                                         3


                                                                                                    F3



                                                                                               C
                                   2                            E3                                 Tail
                                                                                                   Rotor
                                    F2                                                         M
                                                                           E1
                                                      E2
                               A
                                                                                l3
                                                 l2
                                                            O C.G
                       Main
                      Rotor1                                                    1
                                                                     mg
                                                                                     F1
                                    M


                                                                      l2             B
                                   Ez
                                                                l1
                                                                                      Main
                                                                                     Rotor2

                                                                                    M

                                                      Ey
                       Ex


                                    Figure 2. T-Copter Structure and Parameters




                                            ve           ve             ve 



                                            E1             E2              E3


                                        Figure 3. Roll, Pitch and yaw definitions



                                                                 32
Control Theory and Informatics                                                                  www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012




                                  Figure 4. Forces on structure in body frame




                                               Figure 5. A cylindrical shell


                                                                    E1

                                                                         3



                                                                         +ve Roll


                                      3


                                                                     shell1


                                           +ve Pitch       +ve Yaw
                             E2                                               O(C.G)
                                  4                                                      1
                                          2                             shell 2
                                      1


                                                       2                               2



                            Figure 6. T structure made up of cylindrical Shells



                                                               33
Control Theory and Informatics                                                                                                                    www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012




                                 shell1                                                                                               
                                                                        shell1
                                                                                                                                           shell1

                                 O(C.G)                                    O(C.G)                                              O(C.G)


                                                                                                                                      shell 2
                           shell 2                                     shell 2



            A. T structure during roll                      B. T structure during pitch                          C.T structure during yaw
                                Figure 7. T structure during three angular rotations in space



                                                                                      M1                  Mot



                                                  Mot                                              RMot                                             M1           Mot
                                          RMot
                                                                                                                                                          RMot
                           shell1            M1                                                                                            
       M2                                                                  shell1
                                                                                                                                                 shell1
                                                                                                                        l  l2  l4
                                                                                                                              2    2


                           O(C.G)                                          O(C.G)                                                     O(C.G)
                                                           M2                                                    M2
                                                                                                                                            shell 2
                                     
                      shell 2                                           shell 2
                                           M3
                                                                                                    M3                                           M3



                A. Motors during roll                          B. Motors during pitch                             C. Motors during yaw
                                 Figure 8. Motors during three angular rotations in space



                                                                               E3

                            E1
                                                                                      Yaw


                                                        Roll
                                                                                     O(C.G)                     mrack
                                                                                 

                                                                       Pitch

                                                                E2                                 c              b
                                                                      lrack
                                                                                               a

                                                        Figure 9. Control unit rack




                                                                      34
Control Theory and Informatics                                                        www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 2, No.4, 2012




                          Figure 10. Force Diagram to Torque vector on T-Copter.


                                         Z, 

                                           
                                                     F
                                                           Gyroscopic
                                                 


                                                           moment
                                                                                  
                                                                 Y, g  I     

                               X

                              F



                                      Figure 11. Gyroscopic moments




                                   Figure 12. Modified T-copter Structure


                                                     35
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Structural design and non linear modeling of a highly stable

  • 1. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 Structural Design and Non-linear Modeling of a Highly Stable Multi-Rotor Hovercraft Ali Shahbaz Haider1* Muhammad Sajjad2 1. Department of Electrical Engineering, COMSATS Institute of Information Technology, PO Box 47040, Wah Cantt, Pakistan 2. Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan * E-mail of the corresponding author: engralishahbaz@gmail.com Abstract This paper presents a new design for a Multi-rotor Unmanned Air Vehicle (UAV). The design is based on the requirement of highly stable hover capability other than typical requirements of vertical takeoff and landing (VTOL), forward and sidewise motions etc. Initially a typical Tri-rotor hovercraft is selected for modeling and analysis. Then design modifications are done to improve the hover stability, with special emphasis on compensating air drag moments that exist at steady state hover. The modified structure is modeled and dynamic equations are derived for it. These equations are analyzed to verify that our structural modifications have the intended stability improvement effect during steady state hover. Keywords: Multi-rotor Crafts, T-Copter, Rotational Matrix, Pseudo Inertial Matrix, Coriolis Acceleration, Air drag moment, Swash Plate 1. Introduction The term UAV is used interchangeably with terms Auto Pilots or Self Piloted air craft’s. UAVs are Unmanned Air Vehicles that can perform autonomous maneuvers hence are auto pilot based. They have got applications in military perspective as well as in civilian purposes. They are used for various functions such as surveillance, helicopter path inspection, disaster monitoring and land sliding observation, data and image acquisition of targets etc. (Salazar 2005, Jaimes 2008, Dong etc 2010 and Penghui 2010).This is the era of research and development of mini flying robot that may also act as a prototype for the controller design of bigger rotor crafts. Multi Rotor crafts have a lot of advantages over air planes and helicopter; they do not have swash plate and do not need any runway. Changing the speeds of motors with respect to each other, results in changing the flight direction of Multi rotors. They employ fixed pitch propellers, so are much cheaper and easy to control (Soumelidis 2008, Oosedo 2010 and Lee 2011). This research paper comprises of our work corresponding to tri rotor UAV Structure selection. There are various configurations possible as shown in figure 1. We have chosen the Tee structure, known as T-Copter. It has its own merit of somewhat decoupled dynamics in six degree of freedom as compared to other possible structures; moreover it is a challenging system to be modeled and controlled (Salazar 2005). we would show that replacing the tail rotor servo, which is used in most of the existing T-copter designs (Salazar 2005, Jaimes 2008, Dong 2010 and Penghui 2010), with air drag counter moment assembly has resulted in a much more simple model and precise control on the hover making the yaw control decoupled and independent. 2. T-Copter Dynamic Modeling Structure of a typical tri-rotor hovercraft is shown in figure 2. It has two main rotors namely A and B and one tail rotor C. Roll  , pitch  and yaw are defined in figure 3. In this typical configuration, tail rotor is at a tilt angle  which is adjustable by some sort of servo mechanism (Salazar 2005). This is usually done to have a component of force F3 in E1E2-plane to compensate for net air drag moment in hovercraft body as explained in sections to follow. But this configuration has a severe drawback that it results in an acceleration of the body even in steady state. So first of all we would model structure of figure 2, then we will modify the structure so that we eliminate this effect, resulting in stable hover. 24
  • 2. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 2.1 Symbols and Terms Various symbols and terms used in the structure T-Copter in figure 2 and in its modeling equations, as described ahead, are enlisted below. =Real Space,  =roll,  =Pitch,  =yaw, M=mass of each rotor,  =angular velocity 33 33 m=mass of entire Hovercraft Structure,   =Pseudo inertial matrix, R  =Rotational matrix   E1 , E2 , E3  =Body Frame of Reference,   Ex , E y , Ez  =Inertial Frame of Reference C.G. =center of gravity of Hovercraft body  ( x, y , z )  3 =position of C.G in   ( ,  , )  3 =Angular displacement vector of hovercraft body j =lengths of respective sides of hovercraft body F =force vector in  ,   =torque vector, Fi =Force vector of the ith rotor 3 3  3 =parasitic moment term in system dynamics  3 =parasitic acceleration term in system dynamics 2.2 Newton-Euler’s equations Newton-Euler’s equations govern the dynamics of general multi rotor hovercrafts (Atul 1996, Francis 1998 and Barrientos 2009). These equations describe the dynamics of body in inertial frame of reference. These equations are as follows, d 2 m  R33 F31  mg Ez  31 (b , i , rj ) dt 2 31 31 (1) d 2  33   31  31 (b , i , rj ) dt 2 31 Where:    x y z  ,       and Ez   0 1 T T T 0 In the following sub sections we explain various terms within these equations, develop these equations for typical T-Copter. Then we would modify this structure so that resulting dynamic equations of modified structure are simple and well controllable. 2.2.1. Force Vector F Forces on the structure in  frame are shown in figure 4 in E 2 E 3 -plane. So the force vector comes out to be, F  0 F3 sin  F1  F2  F3 cos   T 2.2.2 Rotational Matrix Force vector F in Newton-Euler’s equations is described with respect to body frame of reference  . In order to translate this vector in inertial frame of reference, a transformation matrix is needed, which is known as rotational matrix. Since body can perform three rotations with respect to inertial frame of reference, we have a possible of six rotational matrices R , R , R , R , R , R .Out of the six of these possible transformation matrices; we select the standard one namely R and denote it by R. This rotational matrix is given by, 25
  • 3. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012  cos cos sin cos  sin    R  cos sin  sin   sin cos  sin sin  sin   cos cos  cos  sin    cos sin  sin   sin cos  sin sin  sin   cos cos   cos  cos    2.2.3 Parasitic forces vector This vector includes the effects of centripetal and centrifugal acceleration of the structure and propellers. It also includes Coriolis acceleration terms. 2.2.4 Pseudo Inertial Matrix Pseudo inertial matrix is a diagonal matrix of form,  I roll 0 0   0  I pitch  0   0  0 I yaw   Iroll Is moment of inertia of T-Copter for rotation around E1 axis. Ipitch is moment of inertia of T-Copter for rotation around E 2 axis. Iyaw is moment of inertia of T-Copter for rotation around E 3 axis. Our structure is made up of cylindrical shells of radius “R”. For a cylindrical shell of figure 5 with M =mass of the shell, the principle moment of inertia are given by, I xx  M ((3r 2  2h2 ) / 6)  M d 2 , I yy  M ((3r 2  2h2 ) / 6)  M d 2 , I zz  3r 2 2.2.3.1. Moment of Inertia of T Structure Now we derive the moment of inertia of the T structure of figure 6 during roll, pitch and yaw. The moment of inertia of the T structure during Roll i.e. rotation across E1 axis, as shown in figure 7.A, is denoted by IE1, T . Using the results of multi body dynamics, it is sum of moment of inertia of shell 1 around E1 axis IE1, S 1 and shell 2 around E1 axis IE1, S 2 . I E1,T  I E1, S 1   I E1, S 2  If ms1 and ms2 are masses of shell1 and shell2 then we get the following expression using parallel axis theorem,  I E1,T  I E1, S 1  I E1, S 2   mS 1 R 2   m S2 R / 2  mS 2l2 / 3 2 2  The moment of inertia of the T structure during pitch i.e. rotation across E2 axis, as shown in figure 7.B, is denoted by I E 2,T .  3 3   I E 2,T  I E 2, S 1  I E 2, S 2   mS 1 R / 2  mS 1 (l3  l1 ) / (3(l1  l4 ))  mS 2 R  mS 2l4  2  2 2  The moment of inertia of the T structure during yaw i.e. rotation across E3 axis, as shown in figure 7.C, is denoted by I E 3,T .  3 3   I E 3,T  I E 3, S 1  I E 3, S 2   I E 3,T  mS 1 R / 2  mS 1 (l1  l3 ) / (3(l1  l3 ))  mS 2 R / 2  mS 2 l2 / 3  [mS 2 l4 ] 2 2 2 2  2.2.3.2. Moment of Inertia of Motors Motors are assumed to be solid cylinder of length Imot , radius Rmot and masses mmot . During roll the situation is shown in figure 8.A. Moment of inertia of three motors during roll are given below, I Mot1, roll  mMot RMot 2 / 4  mMot lMot / 3, I Mot 2,roll  mMot RMot 2 / 4  mMot lMot / 3  [mMot l22 ] 2 2 I Mot 3,roll  mMot RMot 2 / 4  mMot lMot / 3  [mMot l23 ] 2 2 26
  • 4. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 During pitch the situation is shown in figure 8.B. Moment of inertia of three motors during pitch are given below, I Mot 1, pitch  mMot RMot / 4  mMot lMot / 3  [mMot l3 ], I Mot 2, pitch  mMot RMot / 4  mMot lMot / 3  [mMot l4 ] 2 2 2 2 2 2 I Mot 3, pitch  mMot RMot / 4  mMot lMot / 3  [mMot l4 ] 2 2 2 During yaw the situation is shown in figure 8.C. Moment of inertia of three motors during yaw are given below, I Mot 1, yaw  mMot RMot / 2  [mMot l3 ], I Mot 2, yaw  mMot RMot / 2  [mMot ], I Mot 2, yaw  mMot RMot / 2  [mMot 2 2 2 2 2 2   ] 2.2.3.3. Moment of Inertia of the Control Unit Rack Control unit rack holds the batteries, sensors and electronics boards etc. It is assumed to be in the form of a parallelepiped as shown in the figure 9. Its mass, including all parts placed in it, is mrack . During roll, pitch and yaw, moment of inertia of rack are given to be. I Rack , roll  m ( a  4c ) / 12, I Rack , pitch  m (b  4c ) / 12  m l Rack 2 2 Rack 2 2  2 Rack rack , I Rack , yaw  m ( a  b ) / 12  m l Rack 2 2  2 Rack rack  2.2.3.4. Diagonal Elements of Pseudo Inertial Matrix Results of multi body dynamics show that moment of inertia T-Copter during roll i.e. Iroll is sum of moment of inertia of all parts of T-Copter during roll. Same is true for pitch and yaw moment of inertia, hence, 3 3 I roll  I E1,T   I Moti , roll  I Rack ,roll , I pitch  I E 2,T   I Moti , pitch  I Rack , pitch i 1 i 1 3 I yaw  I E 3,T   I Moti , yaw  I Rack , yaw i 1 2.2.4. Nominal Torque Vector  Figure 10 shows forces produced by propellers P 1, P2 and P3 on T-Copter body. Since torque is product of force and moment arm, so from figure 10, nominal torque vector comes out to be,    2 ( F2  F1 )  1 ( F1  F2 )  F3 cos   3 F3 sin   T 3 2.2.5. Parasitic Moment Vector Parasitic moments’ vector contains all those moments that creep into the structure as a by-product of desirable moments. They are inevitable. Brief introduction of these moments is given in following sub sections. Expression for given by,   g   d   f   ic , where,  g =Gyroscopic moment,  d =Air Drag moment,  f =Frictional moment,  ic =Inertial Counter moment 2.2.5.1. Gyroscopic Moment Consider figure 11 in which a rotating wheel is subjected to an angular acceleration d / dt . It results in a gyroscopic moment orthogonal to both angular acceleration vector and angular velocity vector of rotating wheel. Expression for gyroscopic moment is given by, g  I   (d / dt ) Gyroscopic moment is produced due to rotating propellers and rotors. If Ipc is moment is inertia of rotor and propeller then gyroscopic moment vector, as denoted by M g , is given by, M g   M gp 0  I pc (1  2  3 )d / dt (1  2  3 )d / dt 0 T T  M gr  27
  • 5. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 Here Mgr is gyroscopic moment resulting from roll rate and Mgr is gyroscopic moment resulting from pitch rate. 2.2.5.2. Air Drag Moment These moments are produces as propellers rotate and drag through air. They are typically taken to be proportional to propellers’ angular velocity squared, directed counter to direction of rotation of propellers. Denoting air drag moments by Q , we get the net air drag moment of the T-Copter, denoted by M d , to be, M d  0 0 Q1  Q2  Q3  T 2.2.5.3. Frictional Moments Frictional moments are proportional to angular velocities. Frictional moment vector ( M f ), is given by, M f  k f  d / dt d / dt d / dt  T Where k f =frictional constant 2.2.5.4. Inertial Counter moments Inertial counter moment is proportional to rate of change of angular velocity of propellers. It acts only in yaw direction. Net inertial counter moment vector is given by, M ic  I pc 0 0 d1 / dt  d2 / dt  d3 / dt  T Now the final expression for is given by,   g   d   f   ic  (     )       1 2 3   0     0         k    I pc  (1  2  3 )   (2) 0    I pc  0    f        Q  Q  Q    1 2 3 1  2  3    0             2.2.6. Developing Newton-Euler’s Equations First of all we develop Newton’s Equation, d  2 m 2  RF  mg E z  dt x  0  0  x   y  R    mg 0    2 d m 2 F3 sin  dt         y z    F1  F2  F3 cos     1       z  Letting u z = F1  F2  F3 cos  and putting value of R vector, we get the results as, 28
  • 6. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 2 d x m  u z sin    sin  cos   F sin   dt 2 3 x 2 d y m  u z cos  sin    sin  sin  sin   cos  cos   F3 sin   (3) dt 2 y 2 d z m  u z cos  cos   mg   sin  sin  sin   cos  cos   F sin   dt 2 3 z Now we develop Euler’s Equation, d  2 d 2  d  2 d  2 I 2 I    2  I 1  I 1  2  I 1  I 1  2  I 1  I 1 dt dt dt dt Putting the values we get, 1     I 0    I roll  1 0 2 ( F2  F1 )   1  2 d        0 I 0 ( F1  F2 )  3 F3 cos    I pitch dt 2      1   1      0    0 I      3 F3 sin    I yaw      Or, d 2 1   2 ( F2  F1 )  I roll 1  dt 2 I d 2 1 (4)    1 ( F1  F2 )  F cos   +I pitch 3 3 1  dt 2 I d 2 1    3 F3 sin    I yaw 1  dt 2 I Near to stability i.e.   0;   0; d / dt  0; d / dt  0; d / dt  0 and neglecting transient disturbance terms, Equation 2 becomes,  0 0 Q1  Q2  Q3   0 0 Qnet  T T Equation set 3 becomes, d 2x d2y d 2z m  sin  F3 sin  , m  cos F3 sin  , m  uz  mg  cos F3 sin  (5) dt 2 dt 2 dt 2 Equation set 4 becomes, d 2 1 d 2 1 d 2 1   (F  F ) ,   1( F1  F2 )  3 F3 cos   ,   F sin    I yawQnet 1 dt 2 I  2 2 1  dt 2 I   dt 2 I  3 3  (6) Now it is evident from Equation set (5) and (6) that tail rotor tilt angle  ,that was introduced to compensate for Qnet in equation set (6) has made accelerations in x, y and z directions dependent upon  in a non-linear fashion and has 29
  • 7. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 made the model much complicated to control even near to the steady state condition. Even at steady state, T-copter body would accelerate in xy-plane, a fact evident from equation set (5). Hence results in failure to achieve stable hover. 2.2.7. Design Modification for Stable Hover Since Qnet has comparatively very small magnitude, we can counter balance it by a small counter air drag couple by two small motors’ set Mt , 1 and Mt , 2 as shown in the figure 12, and turn  =0. Two propellers of counter air drag couple motor assembly are chosen to be of opposite pitch so they rotate in opposite direction with equal speed. This would balance out their gyroscopic moments and air drag moments all the time. Moment of inertia for this counter air drag couple motor assembly can easily be calculated during roll, pitch and yaw by the procedure described above. Moment of inertia of this assembly can then be added in respective diagonal elements of Pseudo inertial matrix. 2.2.8. Developing Newton-Euler’s Equations for Modified T-Copter Structure If the distance between motors Mt , 1 and Mt , 2 is t in figure 12 then moment produced by them has the magnitude t Ft , which is counter to air drag moment. So Equation set (3) becomes, d2x d2y d 2z m  uz sin   x , m  u z cos  sin   y , m  u z cos  cos   mg  z (7) dt 2 dt 2 dt 2 And equation set (4) becomes d 2 1 d 2 1 d 2 1   (F  F )     ( F  F )  3 F3  +   F   (8) I  2 2 1  I  1 1 2  I  t t  2  , 2 , 2  dt dt dt An immense simplification in the structure dynamics is evident from equation sets (7) and (8) as compared to equation sets (3) and (4). Most of the nonlinearities of previous model are eliminated. Linear accelerations have been made decoupled from yaw angle as clear from equation set (7).Now we observe the behaviour near to steady state i.e.   0;   0; d / dt  0; d / dt  0; d / dt  0 Neglecting transient disturbance terms, equation set (7) becomes, 2 2 2 d x d y d z m  0, m  0, m  u z  mg (9) dt 2 dt 2 dt 2 Equation set (8) becomes, d 2 1 d 2 1 d 2 1   2 ( F2  F1 ) ,    1 ( F1  F2 )  3 F3  ,    t Ft   Qnet (10) dt 2 I dt 2 I dt 2 I So we see that our structural modification has resulted in an extremely stable model near to steady state which is evident from equation sets (9), (10) as compared to equation set (5) and (6). 5. Conclusion In typical Tri-rotor Hovercrafts, air drag moments of propellers are compensated by tilting the tail rotor through an angle, by using some sort of servo mechanism. Such arrangement results in an unstable steady state hover and much more complicated system dynamics. If tail rotor servo mechanism is replace by a cheap counter air drag couple motors’ assembly, we get immensely simple system dynamics and completely stable steady state hover. 30
  • 8. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 References Atul Kelkar & Suresh Joshi (1996) Control of Nonlinear Multibody Flexible Space Structures, Lecture Notes in Control and Information Sciences, Springer-Verlag London Publications. Barrientos, A.; Colorado, J. (22-26 June 2009). Miniature quad-rotor dynamics modeling & guidance for vision-based target tracking control tasks. Advanced Robotics, 2009. ICAR 2009. International Conference on , vol., no., pp.1-6 Dong-Wan Yoo; Hyon-Dong Oh; Dae-Yeon Won; Min-Jea Tahk. (8-10 June 2010). Dynamic modeling and control system design for Tri-Rotor UAV. Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on , vol., no., pp.762-767 Francis C.Moon (1998) Applied Dynamics With Application to Multibody Systems, Network Books, A Wiley-Interscience publications. Jaimes, A.; Kota, S.; Gomez, J. (2-4 June 2008). An approach to surveillance an area using swarm of fixed wing and quad-rotor unmanned aerial vehicles UAV(s). System of Systems Engineering, 2008. SoSE '08. IEEE International Conference on , vol., no., pp.1-6 Lee, Keun Uk; Yun, Young Hun; Chang, Wook; Park, Jin Bae; Choi, Yoon Ho. (26-29 Oct. 2011). Modeling and altitude control of quad-rotor UAV. Control, Automation and Systems (ICCAS), 2011 11th International Conference on , vol., no., pp.1897-1902 Oosedo, A.; Konno, A.; Matumoto, T.; Go, K.; Masuko, K.; Abiko, S.; Uchiyama, M. (21-22 Dec. 2010). Design and simulation of a quad rotor tail-sitter unmanned aerial vehicle. System Integration (SII), 2010 IEEE/SICE International Symposium on , vol., no., pp.254-259 Penghui Fan; Xinhua Wang; Kai-Yuan Cai. (9-11 June 2010). Design and control of a tri-rotor aircraft. Control and Automation (ICCA), 2010 8th IEEE International Conference on , vol., no., pp.1972-1977 Salazar-Cruz, S.; Lozano, R. (18-22 April 2005). Stabilization and nonlinear control for a novel Tri-rotor mini-aircraft," Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on , vol., no., pp. 2612- 2617 Soumelidis, A.; Gaspar, P.; Regula, G.; Lantos, B. (25-27 June 2008). Control of an experimental mini quad-rotor UAV. Control and Automation, 2008 16th Mediterranean Conference on , vol., no., pp.1252-1257 31
  • 9. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 Figure 1. Possible Tri-rotor Craft Structures (structures’ topological names are indicated) E3 3 F3 C 2 E3 Tail Rotor F2 M E1 E2 A l3 l2 O C.G Main Rotor1 1 mg F1 M l2 B Ez l1 Main Rotor2  M Ey Ex Figure 2. T-Copter Structure and Parameters ve  ve   ve  E1 E2 E3 Figure 3. Roll, Pitch and yaw definitions 32
  • 10. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 Figure 4. Forces on structure in body frame Figure 5. A cylindrical shell E1 3 +ve Roll 3 shell1 +ve Pitch +ve Yaw E2 O(C.G) 4   1 2 shell 2 1 2 2 Figure 6. T structure made up of cylindrical Shells 33
  • 11. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 shell1   shell1 shell1  O(C.G)  O(C.G)  O(C.G)  shell 2 shell 2 shell 2 A. T structure during roll B. T structure during pitch C.T structure during yaw Figure 7. T structure during three angular rotations in space M1 Mot Mot RMot M1 Mot RMot RMot shell1 M1   M2 shell1 shell1 l  l2  l4 2 2  O(C.G)  O(C.G)  O(C.G) M2 M2 shell 2  shell 2 shell 2 M3 M3 M3 A. Motors during roll B. Motors during pitch C. Motors during yaw Figure 8. Motors during three angular rotations in space E3 E1 Yaw Roll O(C.G) mrack  Pitch E2 c b lrack a Figure 9. Control unit rack 34
  • 12. Control Theory and Informatics www.iiste.org ISSN 2224-5774 (print) ISSN 2225-0492 (online) Vol 2, No.4, 2012 Figure 10. Force Diagram to Torque vector on T-Copter. Z,   F Gyroscopic   moment   Y, g  I    X F Figure 11. Gyroscopic moments Figure 12. Modified T-copter Structure 35
  • 13. This academic article was published by The International Institute for Science, Technology and Education (IISTE). The IISTE is a pioneer in the Open Access Publishing service based in the U.S. and Europe. The aim of the institute is Accelerating Global Knowledge Sharing. More information about the publisher can be found in the IISTE’s homepage: http://www.iiste.org The IISTE is currently hosting more than 30 peer-reviewed academic journals and collaborating with academic institutions around the world. Prospective authors of IISTE journals can find the submission instruction on the following page: http://www.iiste.org/Journals/ The IISTE editorial team promises to the review and publish all the qualified submissions in a fast manner. All the journals articles are available online to the readers all over the world without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Printed version of the journals is also available upon request of readers and authors. IISTE Knowledge Sharing Partners EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open Archives Harvester, Bielefeld Academic Search Engine, Elektronische Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial Library , NewJour, Google Scholar