Design and realization techniques of compensators for nonlinear systems. The course includes the realization of practical and MATLAB projects.
The course is structured in lectures and laboratory activities. If the course will be delivered in mixed or remote mode, specific variations to the course structure will be actuated in order to maintain the program as reported in the syllabus.
The course is addressed to give the main guidelines to design nonlinear control systems. The low cost of advanced digital microcontrollers today available allows to really implement the presented techniques. In the course, applications regarding the control of nuclear fusion machines, nonlinear electromechanical systems, and aerospace phenomena will be approached. A laboratory activity based on MATLAB/SimuLink tools, DSpace boards, PicoScope boards, and microcontrollers (Arduino/STM32) will allow for practical applications during the course.
1) Slotine, J. J. E., & Li, W. (1991). Applied nonlinear control (Vol. 199, No. 1). Englewood Cliffs, NJ: Prentice Hall.
2) A. Buscarino, L. Fortuna, M. Frasca, Optimal Control and Robust Control- Advanced Topics with Matlab, CRC Press, 2nd Edition, 2021.
Subjects | Text References | |
---|---|---|
1 | Lyapunov Theory for nonlinear systems | Testo 1, 2 |
2 | The search for the Lyapunov Functions | Testo 1, 2 |
3 | Techniques based on Lyapunov Theory to design applied control systems | Testo 1 |
4 | Feedback linearization of nonlinear systems (vector-field techniques) | Testo 1 |
5 | The problem of state-feedback linearization | Testo 1 |
6 | Conditions for exact feedback linearization | Testo 1 |
7 | The input/output feedback linearization: the SISO case and the MIMO case | Testo 1 |
8 | Sliding Mode Control | Testo 1 |
Solve the following exercise:
1) Describe the techniques of feedback linearization.
2) Check the stability of the following nonlinear system by using the Lyapunov Theory.
3) Explain the technique of sliding-mode control.