Olinjär reglering och servosystem, 7.5 hp
It is now possible to sign up for lab 1 and lab 2!
In real life, most control systems are nonlinear in one way or the other (nonlinear dynamics, actuation saturations, sensor nonlinearities, etc). While a controller designed for linear systems may continue to work well in many nonlinear systems, this is not always the case. In some situations, nonlinear effects must be taken into account in order to get acceptable performance. In the course Nonlinear Control and Servo Systems (FRTN05) we study common nonlinearities and how to handle those, treat different analysis methods and learn how to do control synthesis for nonlinear systems, both in theory and practice.
Anders Rantzer, (course responsible) M-building (fifth floor, room 5143) 046 - 222 87 83
Recommended textbook is
- Glad, T., and Ljung,L., "Reglerteori: Flervariabla och olinjära metoder" (2003, Studentlitteratur, Lund, ISBN 9-14-403003-7) or the English translation "Control Theory: Multivariable and Nonlinear Methods", 2000, Taylor & Francis Ltd, ISBN 0-74-840878-9. Chapter 11-16,18. This book covers MPC and Optimal control which are not covered in the other text book. The first part of this book (Ch. 1-10) covers linear control theory and is useful for the course Multivariable Control - (FRTN10 Flervariabel reglering)
An alternative reference is
- Khalil, H. K., Nonlinear Systems (3rd ed., 2002, Prentice Hall, ISBN 0-13-122740-8). This is a good textbook on nonlinear control systems, at a bit more advanced level than the course.
Handouts: Lecture notes and extra material will be handed out and posted on this website.
Lectures and Exercises
Lectures on Mondays are held at 13.15-15.00, other days at 08.15-10.00. Lectures are held in M:E.
The exercises are held Tuesdays and Thursdays 15:15-17:00 in the Automatic Control seminar room M:2112B on the second floor in the M-building, except for 19/11, 21/11 and 5/12, when it is held in lab A and lab B of the Automatic Control Department, first floor of the M-building. See Exercise schedule and problem set.
Monday 4/11: L1: Introduction. Typical nonlinear problems and phenomena. Models. (2019)
Wednesday 6/11: L2: Linearization. Stability. Controllability. Simulation. (2019)
Friday 8/11: L3: Phase-plane analysis. Classification of singular points. Stability of periodic solutions. (2019)
Monday 11/11: L4: Lyapunov methods. (2019)
Wednesday 13/11 L5: Stability theory. Small gain theorem. Circle criteria. Passivity. (2019)
Friday 15/11: L6: Describing function analysis. (2019)
Wedesday 20/11: L7: Saturation and antiwindup. Friction. (2019)
Friday 22/11: L8: Compensation for backlash and quantization. (2018)
Monday 25/11: L9: Lyapunov-based design and sliding modes. (2018)
Wednesday 27/11: L10: Optimal control: The Maximum Principle, examples. (2018)
Lab1: Deadzone-compensation for an air throttle in a car. (2018)
Wednesday 4/12: L12: Dynamic programming. (2018)
Lab2 : Pendulum swing-up
No lectures this week
Lab 3: Optimal control of pendulum an a cart.
Exercises and Solutions
Matlab and Simulink are extensively used in the course, and can be obtained from here using your StiL/Lucat-account.
Graphical user interfaces called pplane and dfield for phase-plane analysis have been developed at Rice University, http://math.rice.edu/, and are available for academic use.
For MATLAB 2017a, use the following versions: pplane9.m and dfield9.m.
For MATLAB 2014b-2016b, use the following versions: pplane8.m and dfield8.m.
If you have a newer version of Matlab you can instead use the Java version available on https://math.rice.edu/~dfield/dfpp.html