基于模糊神经网络的无刷直流电机控制系统智能算法研究

Xinyue Sun
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摘要

基于模糊神经网络自适应PID控制器的无刷直流电机双闭环控制系统仿真实验表明,该控制系统的响应速度得到了提高,超调量得到了降低,电机的负载和参数得到了改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Intelligent Algorithm of Brushless DC Motor Control System Based on Fuzzy Neural Network
The simulation experiment of the double closed-loop control system of BLDCM Based on Fuzzy Neural Network Adaptive PID controller shows that the response speed of the control system can be improved, the overshoot can be reduced, and the load and the parameters of the motor can be improved.
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