Fuzzy Gain Scheduling Design Based on Multiobjective Particle Swarm Optimization

被引：0
|
作者：
Costa, Edson B. M. [1 ]
Serra, Ginalber L. O. [2 ]
机构：
[1] Univ Fed Maranhao, Sao Luis, MA, Brazil
[2] Fed Inst Technol Maranhao, Sao Luis, Maranhao, Brazil
来源：
2015 LATIN AMERICA CONGRESS ON COMPUTATIONAL INTELLIGENCE (LA-CCI) | 2015年
关键词：
Fuzzy Control; Gain Scheduling; Particle Swarm Optimization; Gain and Phase Margins; SYSTEMS;
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 fuzzy gain scheduling control approach based on gain and phase margins specifications for nonlinear systems with time varying delay, is proposed. A multi-objective particle swarm optimization (MPSO) strategy is defined to tune the fuzzy gain scheduling controller parameters for each operating condition, so the gain and phase margins of the fuzzy control system are close to specified ones. Experimental results show the efficiency of the proposed methodology for control of a thermal plant with time varying delay.
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页数：6
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