1. Sirindhorn International Institute of Technology
Unmanned Aerial
Vehicle Progression
Presentation at
NECTEC (10-09-2012)
Mr. Tanapol Prucksakorn
Mr. Kraingkrai Wachirarattanakornkul
Under
Dr. Kanokvate Tangpimolrat’s and
A.Itthisek Nilkhamhang’s supervison
Young Scientist and Technologist Program
2. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Introduction
Our objective is to make the quadrotor fly,
move freely in the air and can carry a
camera to observe the landslide.
Young Scientist and Technologist Program
3. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Controlling Quadrotor
Now, we can control the quadrotor
wirelessly by using XBee. But the controller
have to be made to control the quadrotor.
So we have to make a quadrotor simulation
from the dynamics model by using Simulink
to determine a proper setting of PID
controller.
Young Scientist and Technologist Program
6. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Simulation
If dynamics model of the quadrotor is
known then the simulation can be made.
So, we simulate each parameter of the
quadrotor which are roll, pitch,yaw,and
altitude.
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7. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Simulation Kp=150, Ki=2, Kd=17
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8. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Simulation Kp=150, Ki=2, Kd=20
Young Scientist and Technologist Program
9. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Simulation Kp=200, Ki=2, Kd=40
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10. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Simulation Kp=2000, Ki=5, Kd=40
Young Scientist and Technologist Program
11. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Plan
Month
Activity
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Study Quadrotor
Design and Order
parts
Control motor /
Calibration
Study Sensor
Study Controller
Implement controller
Test
Summary and Report
Young Scientist and Technologist Program
12. Sirindhorn International Institute of Technology
Unmanned Aerial Vehicle
Conclusion
PID controller alone is not enough, so we
have to study another controller. The
interested one is the “Fuzzy Control System”
that can be used with PID controller to tune
the kp,ki,kd automatically.
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