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BP神经网络PID控制器在工业控制系统中的研究与仿真
引用本文:张学燕,高培金,刘勇. BP神经网络PID控制器在工业控制系统中的研究与仿真[J]. 自动化技术与应用, 2010, 29(5): 9-12
作者姓名:张学燕  高培金  刘勇
作者单位:1. 泰山职业技术学院电子工程系,山东,泰安,271000
2. 山东服装职业学院,山东,泰安,271000
摘    要:针对实际被控对象的时变性和非线性的特点,本文将基于BP神经网络PID的控制器应用于工业控制系统中,同时设计了三层BP神经网络并对BP神经网络PID控制器的算法进行了分析。仿真结果的分析表明:本文所设计的BP神经网络PID控制器在跟随性能、抗扰性能和鲁棒性能方面表现出了良好的控制效果。

关 键 词:人工神经网络  BP算法  PID控制器  工业过程控制

The Researching And Simulition of BP Neural Network PID Controller in Industry's Control System
ZHANG Xue-yan,GAO Pei-jin,LIU Yong. The Researching And Simulition of BP Neural Network PID Controller in Industry's Control System[J]. Techniques of Automation and Applications, 2010, 29(5): 9-12
Authors:ZHANG Xue-yan  GAO Pei-jin  LIU Yong
Affiliation:ZHANG Xue-yan1,GAO Pei-jin1,LIU Yong2(1.Electrical Engineering Department of Taishan Polytechnic Vocational College,Taian 271000 China,2.Sh,ong Clothing Vocational College,Taian 271000 China)
Abstract:Aimed at the controlled object’s character of changing with time and non-linear,the PID controller based on BP neural network is used in industrial control system in this article.Three-layer BP neural network is designed and BP neural network PID controller algorithm is analyzed.The analysis of the simulation results showed that: the PID controller based on BP neural network has good control effect in the performance of following,anti-interference,robust.
Keywords:artificial neural network  BP algorithm  PID Controller  Industry’s Control
本文献已被 CNKI 维普 万方数据 等数据库收录!
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