Design of an online rule-adaptive fuzzy control system

Author

He, S.Z. ; Tan, S.H. ; Hang, C.C. ; Wang, P.Z.

Author_Institution

Nat. Univ. of Singapore, Singapore

fYear

1992

fDate

8-12 Mar 1992

Firstpage

83

Lastpage

91

Abstract

The authors discuss the design of a rule-adaptive fuzzy control system, and demonstrate its usefulness in controlling plants of various dynamical natures. The rule-adaptive fuzzy controller generates the fuzzy control signal as a convex combination of the standard fuzzy inputs to the controller, the error, and the error rate. Such a combination is automatically adjusted online amid the varying control situations with a certain updating scheme. Two different updating schemes were applied to the simulations of four selected dynamical plants. The simulation results show that the controller is effective in controlling a wide range of dynamical plants

Keywords

adaptive control; control system synthesis; fuzzy control; dynamical systems; error rate; online rule-adaptive fuzzy control system; updating scheme; Automatic control; Automatic generation control; Control systems; Error analysis; Error correction; Fuzzy control; Learning systems; Mathematical model; Process control; Signal generators; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1992., IEEE International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0236-2

Type

conf

DOI

10.1109/FUZZY.1992.258600

Filename

258600