Title :
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
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;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343116
