Very good one

1. Assoc. Prof. Dr. Osama E. Mahmoud

2. Lecture regulation
 Switch Off mobiles
 Be in time
 Ask as you want ...............After permission
 Do your job .................... And let me do mine
Dr. Osama Esmail 2023
2

3. Course Grading
 Grade distribution
 Term work 30 grads
 Mid term in week 7 or 8 20 grads
 Oral 15 grads
 Final term exam 60 grads

4. Course content
 Automatic control
 Introduction to control system
 System modeling.
 Closed-loop system performance.
 Basic PID design and tuning
 Control design using Root locus method.
 Classical design in frequency domain.

5. Course Learning Outcomes
No. Statement
LO-1 Propose mathematical models of selected systems via differential equations.
LO-2 Assess and interpret the Routh array.
LO-3 Propose transfer functions of electrical, mechanical and electromechanical
dynamical systems.
LO-4 Sketch the root locus associated with a transfer function
LO-5 Explain different types of control systems.
LO-6 Explain Frequency domain analysis.
LO-7 Explain the response of the closed and open loop systems.
LO-8 Demonstrate Linearization for a set of nonlinear dynamical equations.
LO-9 Illustrate the stability of a closed-loop system.
LO-10 Illustrate a system's sensitivity with respect to different parameters

6. Course Learning Outcomes
No. Statement
LO-11 Apply modern control techniques for a linear time-invariant system using software
simulation tools
LO-12 Demonstrate how the steady-state error can be influenced via system parameter
changes using software simulation tools
LO-13 Describe -- in terms of percent overshoot -- settling time, steady-state error, rise-time
or peak-time how the poles of a second-order continuous-time system influence the
transient response
LO-14 Translate design specifications into allowable dominant pole locations in the s-plane
LO-15 Calculate a system's steady-state error and how the steady-state error can be
influenced via system parameter changes
LO-16 Design analog controllers using root locus techniques
LO-18 Create a standard second-order model from a system's step response
LO-19 Design an analog PID controller to meet design specifications

8. What is automatic control system?
 Definition
 it is a unit or a group of units that has the ability to
readjust the system inputs to achieve a desired output
condition.
 Automatic control system component
 Sensors or transducers
 Controller
 actuators

9. What is automatic control system?
 Types of automatic control system
 Open loop
 Closed loop

10. What is automatic control System?

11. What is automatic control system?

12. What is automatic control system?

13. What is automatic control system?

14. Automatic control design
Start
Define System
Performance Specs.
Identify System
Components
Model Behavior of
System components
Select Alternative
components
Define control strategy
Simulate System
Response.
Modify control
strategy
Implement
Physical System
Finish
Measuring System
response
Modify control
strategy
No
No
No
Yes
Yes
Yes
Is Component
Response
Acceptable?
Does Simulated
Response Meet
Performance
Specs.?
Does System
Response Meet
Performance
Specs.?

15. Definitions
 System: A combination of components acting together to perform a
specified objective. The components or interacting elements have
cause-and-effect (or input/output) relationships. We will
investigate mechanical, electrical, fluid, and mixed systems.
 Dynamic system: The current output variables of a system depend
on the initial conditions (or stored energy) of the system and/or the
previous input variables. The dynamic variables of the system (e.g.,
displacement, velocity, voltage, pressure, etc.) vary with time.
 Modeling: The process of applying the appropriate fundamental
physical laws in order to derive mathematical equations that
adequately describe the physics of the engineering system.

16. Definitions
 Mathematical models: A mathematical description of a
system’s behavior, usually a set of differential equations for
a dynamic system
 Simulation: The process of obtaining the system’s
dynamic response by numerically solving the governing
modeling equations. Simulation involves numerical
integration of the model’s differential equations and is
performed by digital computers and simulation software.
 System analysis: The use of analytical calculations or
numerical simulation tools to determine the system
response in order to assess its performance.