Control Systems (Classical Control)
IMPORTANT MESSAGES:
- We are back to classroom teaching/learning, although part of the lectures will still be provided remotely
- Each week, slides and/or videos will be uploaded
- Grading will be based on two in-classroom tests
Learning objectives:
- Study how to model dynamical systems
- Study feedback loops and their stability
- Learn about how to analyze stability and design controllers
Instructor:
- Prof. Kai Cai (Engineering Building F-610)
- Email: [email protected]
Lecture Schedule:
- Period: April 2023 -- July 2023
- Day and Time: Fridays 13:15-14:45
- Location: B223
Textbook / Reference:
There is no textbook for this course. A reference in Japanese is the following:
フィードバック制御入門,杉江 俊治, 藤田 政之,コロナ社,1999.
Software:
This courses uses Python.
Prerequisites:
Complex analysis, calculus, linear algebra
Grading:
Test 1: 50% Test 2: 50%
Course Outline (tentative):
Dates Topics
- 2023.04.07 Introduction to control systems
- 2023.04.14 State models
- 2023.04.21 Linearization
- 2023.04.28 Linearization, subsystem interconncetion
- 2023.05.12 Laplace transform
- 2023.05.19 Pole locations, final-value theorem
- 2023.05.26 Transfer function
- 2023.06.02 Stability
- 2023.06.09 Feedback loop stability, tracking reference signal
- 2023.06.16 Internal model principle
- 2023.06.23 Principle of the argument, Nyquist stability criterion
- 2023.06.30 Examples of Nyquist criterion
- 2023.07.07 Stability margin, Bode plots
- 2023.07.14 Bode plots examples, stability margin on Bode plots
- 2023.07.21 Introduction to control design, controller design by loop shaping