Title :
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
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;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258600
