Multiobjective Genetic Fuzzy PID Control Design for Uncertain Dynamic Systems

被引：0
|
作者：
Pires, Danubia Soares [1 ]
de Oliveira Serra, Ginalber Luiz [1 ]
机构：
[1] Fed Inst Educ Sci & Technol, Dept Electroelect, Lab Computat Intelligence Appl Technol, BR-65030005 Sao Luis, Maranhao, Brazil
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2012 | 2012年 / 7637卷
关键词：
robust control; fuzzy system; digital PID controller; uncertain dynamic system; multiobjective genetic algorithm;
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 robust fuzzy digital PID control strategy, via multiobjective genetic algorithm, based on the gain and phase margins specifications, with applications to uncertain dynamic systems with time delay, is proposed. A multiobjective genetic strategy is defined to tune the fuzzy controller parameters, so the gain and phase margins of the fuzzy control system are close to the specified ones. Computational results show the efficiency of the proposed methodology through the accuracy in the gain and phase margins of the fuzzy PID control system compared to the specified ones and tracking of the reference trajectory compared to Ziegler-Nichols method.
引用
收藏
页码：330 / 339
页数：10
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