基于BP神经网络整定的PID控制及其仿真研究

Research of PID Control Based on Neural Network and its Simulation

讨论BP神经网络PID控制,利用BP神经网络的自学习能力实现PID控制参数的在线整定,并使用Matlab软件进行仿真研究.仿真结果表明:基于BP神经网络的PID控制器参数调整简单,具有很高的精度和很强的适应性,可以获得满意的控制效果.

This paper discusses PID control strategy based on the nerve network by using the learning ability of BP nerve network to turning the parameters of PID controler, and proceeds the simulation research using MATLAB software. From the simulation results, it is can be shown that PID controller based on the BP neural network have the higher accuracy and stronger adaptability, and can get satisfied control result.