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。
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.
出处
《科技信息》
2012年第17期26-27,共2页
Science & Technology Information
关键词
PID控制
参数整定
BP网络
权值调整
自学习
PID control
Parameter tuning
BP network
Weights adjusting
Self-learning
