ITERATIVE FEEDBACK TUNING FOR NONLINEAR SYSTEMS BASED ON IDENTIFICATION OF LINEARIZED TIME-VARYING MODELS
Paper in proceedings, 2008

A novel algorithm for tuning controllers for nonlinear plants is presented. The algorithm iteratively minimizes a criterion of the control performance. For each controller update iteration, one experiment is performed with a reference signal slightly different from the previous reference signal. The input-output signals of the plant are used to identify a linear time-varying model of the plant which is then used to calculate an update of the controller parameters. The algorithm requires an initial feedback controller that stabilizes the closed loop for the desired reference signal and in its vicinity, and that the closed-loop outputs are similar for the previous and current reference signals. The tuning algorithm is successfully tested on a laboratory set-up of the Furuta pendulum.

Author

Jonas Sjöberg

Chalmers, Signals and Systems, Systems and control, Mechatronics

Chalmers, Signals and Systems

Per-Olof Gutman

Chalmers, Signals and Systems

Mukul Agarwal

Chalmers, Signals and Systems

Bax Mike

Chalmers, Signals and Systems

Proceedings of the 9th Biennial ASME Conference on Engineering Systems Design and Analysis ESDA2008, July 7-9, 2008, Haifa, Israel

ESDA2008-59062

Subject Categories

Control Engineering

More information

Created

10/7/2017