A design methodology for fuzzy controllers and comparison with an optimal PD controller for a nonlinear control system

Author

Hwang, W.R. ; Tao, C.W. ; Thompson, W.E. ; Paz, R.

Author_Institution

Dept. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA

fYear

1993

fDate

16-18 Aug 1993

Firstpage

25

Abstract

This paper presents a method for designing fuzzy logic controllers by using the experience of human operators and/or control engineers. This five-step method, involving a fuzzy logic controller, uses a modified fuzzy associative memory (FAM) approach. The Magnetic Ball Suspension Problem (a nonlinear system problem) is used for illustrative purposes. Comparisons with an optimal PD controller in the linearized and nonlinear cases are made with the result that not only is the fuzzy logic controller more robust than the optimal PD controller in the sense of stability, but it also provides better performance for a given performance index

Keywords

content-addressable storage; fuzzy control; nonlinear control systems; optimal control; robust control; two-term control; fuzzy associative memory; fuzzy controllers; magnetic ball suspension problem; nonlinear control system; optimal PD controller; performance index; robust stability; Associative memory; Design engineering; Design methodology; Fuzzy control; Fuzzy logic; Humans; Magnetic levitation; Optimal control; PD control; Robust stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.343116

Filename

343116