Optimal Design of PID Controller for a CSTR System Using Particle Swarm Optimization

被引：0
|
作者：
Nekoui, Mohammad Ali [1 ]
Khameneh, Mohammad Ali [2 ]
Kazemi, Mohammad Hosein [2 ]
机构：
[1] KN Toosi Univ Technol, Tehran, Iran
[2] Islamic Azad Univ, S Tehran Branch, Tehran, Iran
来源：
PROCEEDINGS OF 14TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (EPE-PEMC 2010) | 2010年
关键词：
Neural Network; Optimal Control; Simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents the optimal design of PID controller based on a particle swarm optimization (PSO) approach for continuous stirred tank reactor (CSTR). The mathematical model of experimental system had been approximate near the operating point for the PSO algorithm to adjust PID parameters for the minimum integral of time multiplied by absolute error (ITAE) condition. The results show the adjustment of PID parameters converting into the optimal point and the good control response base on the optimal values by the PSO technique.
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页数：4
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