A PI type self-tuning fuzzy controller with receding horizon optimization

Author

Xu, Min ; Li, Shaoyuan

Author_Institution

Inst. of Autom., Shanghai Jiao Tong Univ., China

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

733

Abstract

This work presented a PI type fuzzy controller considering the error and the change rate of error. Based on this structure, we work out a method to tune the parameters of the PI type fuzzy controller online. In order to improve further the performance of the fuzzy controller, the optimization control supervised the under level controller by minimizing a generalized predictive control criterion. A simple and sufficient bound condition of input and output variable is achieved under the Lyapunov theory through the brief analysis. Simulation results are made to demonstrate the fine performance of these novel fuzzy controller structures.

Keywords

Lyapunov methods; PI control; error analysis; fuzzy control; minimisation; predictive control; self-adjusting systems; Lyapunov theory; PI type fuzzy controller; PI type self-tuning controller; error analysis; fuzzy controller; generalized predictive control criterion; minimization; parameter tuning method; receding horizon optimization control; sufficient condition; Automatic control; Control systems; Error correction; Fuzzy control; Humans; Nonlinear control systems; Open loop systems; Predictive control; Predictive models; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375490

Filename

1375490