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基于神经网络的自适应PID控制器及其应用
引用本文:王迎旭,刘国繁,伍萍辉.基于神经网络的自适应PID控制器及其应用[J].电力电子技术,2004,38(2):89-91.
作者姓名:王迎旭  刘国繁  伍萍辉
作者单位:湖南工程学院,湖南,湘潭,411101
摘    要:介绍一种基于神经网络的自适应PID控制器,运用神经网络和BP算法在线调整PID参数,PID参数的初值采用继电器自整定法整定。仿真分析和实际应用结果表明,与传统的数字PID控制器相比,该控制器具有更好的控制效果和更好的鲁捧性。

关 键 词:自适应控制/PID控制  神经网络  积分饱和
文章编号:1000-100X(2004)02-0089-03
修稿时间:2003年11月17

A Selfadapting PID Controller based on Neural Network and its Application
WANG Ying-xu,LIU Guo-fan,WU Ping-hui.A Selfadapting PID Controller based on Neural Network and its Application[J].Power Electronics,2004,38(2):89-91.
Authors:WANG Ying-xu  LIU Guo-fan  WU Ping-hui
Abstract:A new selfadapting PID controller based on neural network is proposed.This controller replaces the tradi-tional digital PID with an integral separating digital PID and online updates the PID coefficients with neural network and BP algorithm. The initial value of the PID coefficients is determined by a relay auto-adjusting method. It is shown by the results of simulation analysis and a practical application that this controller can obtain better result and robustness than the traditional digital PID controller.
Keywords:selfdaping control/PID control  neural network  integral saturation
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