Control Systems Engineering

Students will develop foundational knowledge in modeling dynamic systems using transfer functions and state-space representations, and analyze system performance through time-domain and frequency-domain techniques. The course emphasizes practical applications in electronics, covering controller design using PID, root locus, and Bode plot methods to achieve desired system response and stability.

Course outline

Lectures, virtual labs, and graded assignments — completed in your browser.

01Introduction to Control Systemslecture

02Mathematical Models of Physical Systemslecture

03Block Diagram and Signal Flow Graph Reductionlecture

04Time-Domain Analysis of Control Systemslecture

05Stability Analysis in the Time Domainlecture

06Root Locus Techniqueslecture

07Frequency-Domain Analysis: Bode and Nyquist Plotslecture

08Midterm examassignment

09Introduction to Controller Design: PID Controllerslecture

10Lead and Lag Compensatorslecture

11State-Space Representation of Systemslecture

12State-Space Analysis and Designlecture

13Digital Control Systems Introductionlecture

14Final projectassignment

Syllabus

**Course Objectives:**
*   Model various physical systems using mathematical techniques.
*   Analyze system stability and performance in time and frequency domains.
*   Design and implement feedback controllers for desired system behavior.
*   Utilize software tools for control system analysis and design.

**Grading:**
*   Homework Assignments: 30%
*   Quizzes: 20%
*   Midterm Exam: 25%
*   Final Project: 25%