Title :
Adaptive fuzzy control
Author_Institution :
Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
Abstract :
In this paper, adaptive fuzzy logic control (FLC) will be designed by using a simple reference model. This design approach is based on our new methodology “design rule base qualitatively and data base quantitatively”. If the linear rule base is used, the model of FLC can be obtained. It is actually a nonlinear function with only three scaling gains need to be designed and tuned. The conventional control theory can thus be used. This model reference adaptive fuzzy control (MRAFC) requires less restriction on the reference model, but often achieves a more robust performance than its classical counterpart
Keywords :
control system synthesis; fuzzy control; model reference adaptive control systems; robust control; MRAC; MRAFC; linear rule base; model reference adaptive fuzzy control design; nonlinear function; scaling gains; Adaptive control; Control theory; Design engineering; Fuzzy control; Fuzzy logic; Gradient methods; Laboratories; Mathematical model; Programmable control; Two-term control;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.569797