基于单神经元 PID 控制的无刷直流电动机速度控制系统设计 摘要本文以基于神经网络PID控制的无刷直流电机(简称BLDCM)调速系统设计为主题开展讨论，该课题的讨论具有一定的实际意义。在理论分析和仿真讨论的基础上，本文采纳单神经元自适应PID控制算法：在分析无刷直流电机数学模型的基础上，设计了一种无刷直流电机控制系统仿真建模的新方法。在Matlab／Simulink中按功能进行模块化建模，用M文件和s函数来编写功能模块，对电流滞环和转速单神经元PID控制的双闭调速系统进行了仿真。仿真讨论表明上述神经网络PID控制器优于传统PID控制器,新算法具有更好的鲁棒性，且易于实现。关键词：无刷直流电机，单神经元 PID 控制，MATLAB/SimulinkBased on single neuron PID control of brushless dc motor speed control system design AbstractWith the expectation to play a positive role in the development of Artificial Neural Network—based Control and Brushless DC Motor(BLDCM)Drives，this paper researches and designs a PID—Control Brushless DC Motor Drives based on Artificial Neural Network．Based on the theory analysis and simulation research,this paper uses a single neuron adaptive PID control algorithm:Based on analyzing the mathe matical model of the brushless DC motor,the design ofabrushless DCmotor controlsystem simulation modeling method.In Matlab /Simulink formodular modelingaccording to the function,using the M fileand the s function to write the function module,thehysteresis currentand speed ofthe single neuron PID control of double closed control system simulation. Simulation results show that the neural network PID controlleris superior to the traditional PIDcontroller,the new algorithm has betterrobustness,and easy to implement.Keyword：Brushless DC Motor，Single Neural Cell，MATLAB/Simulink 目录1 绪论.............................................................11.1 控制理论的进展和面临的挑战.....................................11.2 神经网络的进展和现状........................
