Simulation and Application of Neural Network PID Auto-Tuning Controller in Servo-System

Qing-song Lin, Yu-fei Yao, Jun-xiao Wang
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引用次数: 2

Abstract

It is difficult for the control system to get expected effect because of factors such as time-varying and non-linear. Considering the fact, a new algorithm is put forward, in which parameters of the PID control parameters are optimized by BP and RBF nets. By using MATLAB as the simulation tool, this new PID auto-tuning algorithm is simulated and researched. The simulation results show that this algorithm has enhanced response speed and robustness.
神经网络PID自整定控制器在伺服系统中的仿真与应用
由于时变和非线性等因素,控制系统难以达到预期的效果。考虑到这一点,提出了一种新的PID控制算法,该算法采用BP和RBF网络对PID控制参数进行优化。利用MATLAB作为仿真工具,对这种新的PID自整定算法进行了仿真研究。仿真结果表明,该算法提高了响应速度和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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