基于微粒群算法的灰色预测PID控制器  

Grey prediction PID controller based on particle swarm optimization approach

作　　者：吴晓威[1] 张井岗[1] 

机构地区：[1]太原科技大学电子与信息工程学院,山西太原030024

出　　处：《智能系统学报》2007年第5期63-67,共5页CAAI Transactions on Intelligent Systems

基　　金：山西省教育厅科技项目(20051311)

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.A grey prediction PID controller based on partic with long time-delay. The output of a system with time de e swarm optimization is presented for systems ay is predicted 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 proposed scheme does not require a precise mathematical model. Fewer parameters must he estimated on-line and computations are very simple. Simulation results show the effectiveness of the proposed controller.

关 键 词：微粒群算法 灰色预测 PID控制器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]