A gain-adjusted fuzzy PI/PD adaptive controller based on the accumulated genetic algorithm

被引：0
|
作者：
Lin, CC [1 ]
Yao, L [1 ]
Chou, CH [1 ]
机构：
[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan
来源：
FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD | 2005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：
In this paper, a gain-adjusted fuzzy PI/PD (GFPIPD) adaptive controller is proposed. The proposed controller first constructs fuzzy rules for fuzzy PD/PI controller with the fixed weighting. Then the fuzzy rules, which self-learning their parameters for a desired condition, are learned through the accumulated GA. Finally, fuzzy gain-adjusted mechanism is further learned through the accumulated GA for the variations of a measured system dynamics. The proposed GFPIPD controller is tested by the high order systems with time delay and variable system dynamics. The experimental results illustrate the performance of the proposed method.
引用
收藏
页码：513 / 518
页数：6
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