[1]吴晓威,张井岗.基于微粒群算法的灰色预测PID控制器[J].智能系统学报,2007,2(5):63-67.
　WU Xiao-wei,ZHANG Jing-gang.Grey prediction PID controller based on particle swarm optimization approach[J].CAAI Transactions on Intelligent Systems,2007,2(5):63-67.
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基于微粒群算法的灰色预测PID控制器

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 2 期数: 2007年第5期 页码: 63-67 栏目: 学术论文—智能系统 出版日期: 2007-10-25
Title:
Grey prediction PID controller based on particle swarm optimization approach
文章编号:
1673-4785(2007)05-0063-05
作者:
吴晓威，张井岗
太原科技大学电子与信息工程学院，山西太原030024
Author(s):
WU Xiao-wei, ZHANG Jing-gang
College of Electronics and Information Engineering, Taiyuan University of Scienc e &Technology, Taiyuan 030024,China
关键词:
微粒群算法; 灰色预测; PID控制器
Keywords:
particle swarm optimization;  grey prediction;  PID con troller
分类号:
TP273
文献标志码:
A
摘要:
针对大滞后系统，提出一种基于微粒群算法的灰色预测PID控制算法.采用灰色预测模型GMC(1,2)预测时滞系统的输出并用微粒群算法优化PID控制器的参数.这种控制方法不需要精确的数学模型，在线估计参数少，计算简单.仿真结果表明该方法的有效性.
Abstract:
A grey prediction PID controller based on particle swarm optimization is present ed for systems with long timedelay. The output of a system with timedelay is p redicted by using a grey prediction model GMC(1,2) and the optimal parameters of the PID controller are obtained by using particle swarm optimization. The propo sed scheme does not require a precise mathematical model. Fewer parameters must be estimated online and computations are very simple. Simulation results show t he effectiveness of the proposed controller.
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备注/Memo

收稿日期：2006-12-01.
基金项目：山西省教育厅科技项目（20051311）
作者简介：
吴晓威, 女，1982年生，硕士研究生，主要研究方向为智能控制和鲁棒控制. E-mail:wxwei2002467@126.com.
张井岗，1965年生，教授，硕士生导师，主要研究方向为鲁棒控制和智能控制及其应用. 发表学术论文60余篇，其中20余篇分别被EI、SCI、ISTP检索.

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