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一种基于BPNN的复合型PID控制算法

A Composite PID Control Algorithm Based on BPNN
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摘要 针对配料过程对象纯滞后问题,研究了一种基于BP神经网络和Smith预估器的复合型PID控制算法,设计出了相应的MATLAB仿真控制程序。为了得到期望的控制效果,提出了一种按一定约束条件自动搜索BP神经网络初始连接权值的程序设计方法。在MATLAB软件环境中通过联立实验程序仿真、分析和验证,结果表明这一方案是正确和可行的。 This paper presents a composite PID control algorithm based on the BP neural network and Smith predictor. An automatic search program for initial weighting of the BP neural network is proposed.Simulation results are also given.
作者 尹湛华
出处 《自动化技术与应用》 2008年第7期5-8,共4页 Techniques of Automation and Applications
关键词 BP神经网络 PID SMITH预估器 初始连接权值 自动搜索 仿真 BP neural networks PID Smith predictor initial connection weightingautomatic research simulation
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