基于BP神经网络整定的PID控制

针对经典PID控制参数不能在线调整的缺陷,研究了一种基于BP神经网络的PID控制算法,利用BP神经网络具有的任意非线性表达能力,通过对系统性能的学习,实现具有最佳组合的PID控制。

According to the defects that the parameters of classical PID control can not be adjusted on line,a PID control based on BP neural network is presented in this paper.The best combination of PID control is realized by the arbitrarily nonlinear expressing ability of BP neural network and the study of system property.