Two-level optimization strategy for fuzzy control design

被引：0
|
作者：
Sheng, WX [1 ]
Miao, DQ [1 ]
Dai, RW [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
来源：
1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A two level optimization strategy is proposed fur fuzzy control design in this paper. The phase-plane of dynamic system is firstly divided into two-lever nonlinear regions according to response analysis, then a neuro-fuzzy hybrid network is built to optimize the region lever by lever, By the former, control process is decomposed properly, quick dynamic response and stable steady state with high accuracy are achieved coordinately, While through the later, unreasonable factors in the design of fuzz? control are decreased/eliminated and effect of fuzzy control is improved by learning. It offers a general, simple and efficient way for fuzzy control design. The optimized fuzzy controller is adopted in an electrohydraulic servo system, and satisfactory performance is obtained.
引用
收藏
页码：276 / 280
页数：5
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