This document provides information about the AE 313 Control Systems course at KFUPM, including: - An overview of the course content which introduces linear feedback control systems. - Course objectives like enabling students to analyze and design control systems using tools like root locus and Bode plots. - Expected course outcomes like understanding concepts of stability, performance, and control system analysis/design techniques. - How the course maps to program outcomes in engineering knowledge and tools. - Components of the course like lectures, labs, assignments, exams and a project.

1. AE 313
AE Systems & Control
Semester 222
Dr. Syed Saad Azhar Ali
75-110
syed.ali@kfupm.edu.sa

2. Control Systems
• This course introduces the linear feedback control
systems. This is a multidisciplinary course equally
applicable to electrical, chemical, mechanical,
aeronautical engineering.
• In this course the components of a linear feedback
control system are introduced.
• The design methodology, in order to achieve desired
response with proper specs, is presented.
• Stability and design issues are discussed.
• Frequency domain design is discussed.

3. Course Objectives
– To introduce students to the fundamental mathematical concepts
required for modeling dynamic systems.
– To enable students to analyze linear dynamic systems stability and
performance in time and frequency domains.
– To enable students to apply root-locus for analysis and design of
control systems.
– To enable students to apply Bode plot for analysis and design of
control systems.

5. Course Outcome
The student shall be able to demonstrate:
– an ability to model dynamic systems. (CLO-1).
– a good understanding of stability and performance concepts. (CLO-2).
– a good understanding of control systems analysis and design
techniques (Root locus and Bode plot). (CLO-3).
– the ability to use MATLAB® and Simulink as a tool for matrix
manipulations and dynamic simulation. (CLO-4).

6. CO vs Program Outcomes
• Engineering Knowledge – Able to acquire and apply knowledge of mathematics, basic science and
engineering fundamentals to solve complex electrical and electronics engineering problems.
• Problem Analysis – Able to undertake complex electrical and electronics engineering problem
identification, formulation and solution synthesis using fundamental knowledge, techniques and
analytical skills to reach substantial conclusions in complex engineering practices.
• Design/Development of Solutions - Able to design or develop solutions for complex electrical and
electronic engineering problem with appropriate consideration for public health and safety,
cultural, societal, and environmental considerations.
• Modern Tool Usage - Create, select and apply appropriate techniques, resources, and modern
engineering and IT tools, including prediction and modelling, to complex engineering

7. End Product
• The student shall be able to understand the difference between open
loop and closed loop systems along with their advantages and
disadvantages.
• By the end of this course the student should be able to analyze a
control system with respect to desired response, performance and
stability issues.
• The student should be able to develop block oriented design approach
for any discipline of engineering.

8. Grading Policy
Lab 20 %
Attendance and participation 5 %
Short quizzes and homework 15 %
Project 15 %
Mid-term exam (2) 20 %
Final exam 25%

9. Introduction
Control systems are an integral part of modern society. Numerous
applications are all around us: Household appliances, temperature-
control system, robotic systems , traffic control systems, chemical process
systems. Control engineers are concerned with controlling segments of
their environment, often called systems, to provide useful economic
products for society.

10. What is a control system?
• A control system is an interconnection of components forming a system
configuration that will provide a desired system response.

11. Cause-effect relationship
• Each component is described by a cause-effect relation. Therefore a
component or process to be controlled can be represented by a block
• The input- output relation represents the cause-and-effect relationship of
the process

22. Lab
• Introduction to MATLAB
• Introduction to Simulink
• Implementation of Control Systems concepts on MATLAB
• Design of PID Controller
• Implementation of PID controller in an experiment
– Quanser AERO
– Ball and Beam
– Speed Control

23. 24
Project
8/23/2023