Multi-Objective Particle Swarm Optimization Design of PID Controllers

被引：0
|
作者：
de Moura Oliveira, P. B. [1 ]
Solteiro Pires, E. J. [1 ]
Cunha, J. Boaventura [1 ]
Vrancic, Damir [2 ]
机构：
[1] Univ Tras Os Montes & Alto Douro, CITAB, Vila Real, Portugal
[2] J Stefan Inst, Dept Syst & Control, Ljubljana, Slovenia
来源：
DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS | 2009年 / 5518卷
关键词：
Multi-objective particle swarm optimization algorithm; PID control;
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 novel variant of a multi-objective particle swarm optimization algorithm is reported. The proposed multi-objective particle swarm optimization algorithm is based on the maximin technique previously proposed for a multi-objective genetic algorithm. The technique is applied to optimize two types of problems: firth to a set of benchmark functions and second to the design of PID controllers regarding the classical design objectives of set-point tracking and output disturbance rejection.
引用
收藏
页码：1222 / +
页数：2
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