基于BP网络的PID控制器参数整定法研究

PID Parameters Tuning Based on BP Neural Network

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.

Neural network and PID parameters tuning are integrated, and 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, which is applicable to nonlinear and time-varying system, and realizes the on-line PID parameters adjusting.