Year
Year 2
Semester
First Semester
Credit
3
Program Description
Mathematical modeling and analysis of feedback control systems in engineering contexts.
About this course
Control Systems Theory introduces the mathematical tools needed to understand and design systems that regulate themselves. You will learn how to model physical processes, from simple motors to complex industrial plants, and analyse how they respond to changes in input.
The course covers the fundamentals of feedback, stability, and transient response. You will move beyond theory to practical application, using software simulations to test your designs before implementing them in the lab. This is a core course for students pursuing a career in automation, robotics, or industrial electronics.
Who takes this course
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Model dynamic systems using differential equations and transfer functions.
- Analyze system stability using root locus and frequency response methods.
- Design proportional, integral, and derivative (PID) controllers for specified performance criteria.
- Simulate control system behaviour using industry-standard software tools.
- Evaluate the impact of feedback on system sensitivity and noise rejection.
Evaluation
| Component | Weight (%) |
| Midterm examination | 30 |
| Control system design project | 35 |
| Weekly laboratory reports | 20 |
| Final examination | 15 |