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基于BP网络的PID控制器参数整定法研究
引用本文:高峰.基于BP网络的PID控制器参数整定法研究[J].科技信息,2012(17):26-27.
作者姓名:高峰
作者单位:商丘师范学院物理与电气信息学院
摘    要:将神经网络和PID参数的整定相结合,提出了基于误差反传神经网络的PID参数整定方法,通过神经网络的自学习和权值调整寻找最优的PID参数。该方法适用于非线性系统和时变系统,实现了PID参数的在线整定。

关 键 词:PID控制  参数整定  BP网络  权值调整  自学习

The Tuning Method of PID Parameters Based on BP Neural Network
GAO Feng.The Tuning Method of PID Parameters Based on BP Neural Network[J].Science,2012(17):26-27.
Authors:GAO Feng
Institution:GAO Feng(Department of Physics and Electrical Information,Shangqiu Teachers College,Shangqiu Henan,476000)
Abstract:In this paper,neural network is combined with tuning of PID parameters,and the tuning method based on BP neural network,which searches for optimum PID parameters by the self-learning and weights adjusting of neural network is presented.It applies to nonlinear system and time-varing system and achieves the on-line adjusting of PID parameters.
Keywords:PID control  Parameter tuning  BP network  Weights adjusting  Self-learning
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