基于神经网络的PID参数自整定控制及其Matlab仿真研究

The Research of Parameter Self-Tuning PID Controller based on Neural Network and Matlab Simulation

将神经网络自适应PID算法与传统的PID控制算法进行比较分析,通过仿真实验,验证神经网络自适应PID控制算法在总体上优于传统的PID控制算法.该方法有利于系统控制效果的提高,并且受环境的影响较小,在一定程度上弥补了传统PID控制的不足.

The comparison on the neural network adaptive PID algorithm with the traditional PID control algorithm were analyzed,the simulation show that the neural network adaptive PID control algorithm is superior to the traditional PID control algorithm in most aspects.The neural network adaptive PID control algorithm is helpful for control system to improve the control quality and the environment has limited influence on the system.The method counteracts the defects of the traditional PID control algorithm.