EEE302 FEEDBACK SYSTEMS
Course Code: | 3560302 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 5.0 |
Department: | Electrical and Electronics Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Assist.Prof.Dr CANRAS BATUNLU |
Offered Semester: | Spring Semesters. |
Course Objectives
The goal of the course is to develop an understanding and ability to use tools to model, analyze, and design/modify control systems to achieve desired behavior in face of external disturbances.
Course Content
Mathematical modeling: Transfer functions, state equations, block diagrams. System response; performance specifications. Stability of feedback systems: Routh-Hurwitz criterion, principle of argument, Nyquist stability criterion, gain margin and phase margin. Design of dynamic compensators. Analysis and design techniques using root-locus. State-space techniques: Controllability, observability, pole placement and estimator design. Discrete-time control systems.
Course Learning Outcomes
1) Identify basic components of control systems, Understand feedback, stability, gain. Apply Laplace transform.
2. Draw block diagrams, find transfer functions
3. Model a system using state space form.
4. Determine controllability, observability, transform a system to controllable, observable and diagonal canonical forms
5. Analyze a system in time domain, identify transient and steady state responses
6. Inspect stability by Routh Hurwitz, Root Locus and Nyquist techniques
7. Implement pole placement by state feedback and observer design.
8. Have some knowledge of frequency response and stability margins.
Program Outcomes Matrix
Level of Contribution | |||||
# | Program Outcomes | 0 | 1 | 2 | 3 |
1 | Ability to use mathematics, engineering theory and fundamentals of engineering in solving engineering related problems | ✔ | |||
2 | An ability to design and analyze Electrical and Electronic systems | ✔ | |||
3 | Ability to reach the required information and use that information effectively to solve engineering problems | ✔ | |||
4 | Successfully adapt to evolving technologies and stay current with their professions, | ✔ | |||
5 | An ability to function and communicate well in multidisciplinary teams | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution