Title :
A class of data-driven based controller design and its parameters tuning method
Author :
Wang Weihong ; Hou Zhongsheng ; Huo Haibo ; Jin Shangtai
Author_Institution :
Sch. of Mech. Eng. & Autom., Beihang Univ., Beijing, China
Abstract :
Data-based control technique becomes a research hot point because of the controller design need the system I/O data only. A class of data-based controller design and its parameters tuning method (IFT-MFAC) was proposed for a class of discrete-time nonlinear system in this paper. Three controller structures are deduced according to non-parameters time-varying dynamic linearization theorem, then the controller parameters are tuning by IFT technique. The rationality of the 3 structures of the controller is assured by the theorem, whereas, the controller structure is designed blindly by IFT. Obviously, the new method settles down this problem more properly. Finally, the three data-based methods IFT-MFAC, MFAC and IFT were compared through 3 examples. And the simulation results show the validity of the IFT-MFAC.
Keywords :
adaptive control; control system synthesis; discrete time systems; feedback; iterative methods; linearisation techniques; nonlinear control systems; time-varying systems; IFT data-based method; IFT-MFAC data-based method; MFAC data-based method; data-driven based controller design; discrete-time nonlinear system; iterative feedback tuning; model-free adaptive control; nonparameters time-varying dynamic linearization theorem; parameters tuning method; Adaptation model; Adaptive control; Educational institutions; Electrical engineering; Electronic mail; Nonlinear dynamical systems; Tuning; Data-driven Based Control Technique; Iterative Feedback Tuning; Model-free Adaptive Control; Non-parametric Time-varying Dynamic Linearization;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
