The Optimization about PID controller's parameter based on QPSO Algorithm

被引：1
|
作者：
Liu Jing-hui [1 ]
Xu Wen-bo [1 ]
机构：
[1] JiangNan Univ, Sch Internet Things Engn, Wuxi, Jiangsu, Peoples R China
来源：
2011 TENTH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE (DCABES) | 2011年
关键词：
PID controller; Optimization about parameter; Quantum-behaved Particle Swarm Optimization;
D O I：
10.1109/DCABES.2011.93
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
PID controller for control system parameter optimization problem, we introduced Quantum-behaved particle swarm optimization (QPSO) algorithm, this method has the quantum behavior of particles, which can search the entire feasible region, the state only with particles position vector to describe, and they rely on only one parameter, the convergence speed and global convergence properties are superior to the traditional PSO. Simulation results verify the feasibility of quantum particle swarm optimization and effectiveness.
引用
收藏
页码：359 / 363
页数：5
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