Tuning parameters of PID controller based on fuzzy logic controlled genetic algorithms

被引：0
|
作者：
Feng Dongqing [1 ]
Wang Xiaopei [1 ]
Fei Minrui [1 ]
Chen Tiejun [1 ]
机构：
[1] Zhengzhou Univ, Inst Informat & Control, Zhengzhou 450002, Peoples R China
来源：
SENSORS, AUTOMATIC MEASUREMENT, CONTROL, AND COMPUTER SIMULATION, PTS 1 AND 2 | 2006年 / 6358卷
关键词：
fuzzy controller; FCGA; adaptive PID controller;
D O I：
10.1117/12.718210
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To solve the problem of tuning parameters of PID controller using the conventional genetic algorithm, an improved genetic algorithm based on fuzzy inference is proposed. On the basis of generalizing heuristic knowledge about crossover and mutation operations, a fuzzy controller is designed to adaptively adjust the crossover rate and mutation rate. The fuzzy logic controlled genetic algorithm (FCGA) improves global optimization ability of the standard genetic algorithm. We apply it to adaptive PID controller. The comparison between the FCGA and the SGA is performed, which demonstrates that the FCGA has much better capability of parameters optimization and convergent speed, and it can also fulfill the requirement of real-time control.
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收藏
页数：6
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