Title :
Two-level optimization strategy for fuzzy control design
Author :
Wanxing, Sheng ; Duoqian, Miao ; RuWei, Dai
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Abstract :
A two-level optimization strategy is proposed for fuzzy control design. The phase-plane of the dynamic system is firstly divided into two-level nonlinear regions according to response analysis, then a neuro-fuzzy hybrid network is built to optimize the region level by level. By the former, the control process is decomposed properly, quick dynamic response and a stable steady state with high accuracy are achieved coordinately. While through the later, unreasonable factors in the design of the fuzzy control are decreased/eliminated and the effect of fuzzy control is improved by learning. It offers a general, simple and efficient method for fuzzy control design. The optimized fuzzy controller is adopted in an electro-hydraulic servo system, and satisfactory performance is obtained
Keywords :
control system synthesis; fuzzy control; fuzzy neural nets; hydraulic systems; learning (artificial intelligence); neurocontrollers; optimal control; optimisation; dynamic response; dynamic system; electro-hydraulic servo system; fuzzy control design; learning; neuro-fuzzy hybrid network; optimized fuzzy controller; performance; response analysis; stable steady state; two-level nonlinear regions; two-level optimization strategy; Control design; Control systems; Design optimization; Error correction; Fuzzy control; Nonlinear control systems; Process control; Quantization; Robustness; Steady-state;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672781
