无刷直流电动机单神经元自适应PID控制及改进

Single-Neuron Adaptive PID Control and Improvement of Brushless DC Motor

研制的无刷直流电动机单神经元自适应PID控制器,实现了在线调整PID参数的目的,克服了电动机非线性、参数易变的影响;同时引进变速控制算法对神经元比例参数K的给定进行了在线改进。仿真结果表明,单神经元自适应PID控制器自适应能力好,响应快,鲁棒性强,系统静态和动态特性良好,而且采用变速控制改进算法后,速度的调节器品质有所提高。

A single-neuron adaptive PID controller for brushless DC motor is developed,the aim of regulating the parameters of the PID is realized in order to resolve the effect brought by the problems such as non-linear and parameter variety of brushless DC motor.Then the giving of single-neuron proportion parameter is improved by speed-change control.The simulation results show that the single-neuron adaptive PID contro has high robustness and adaptive ability and the system has good static and dynamic performance.Furthermore,the quality of speed regulation is improved after mending the algorithm by using the speed-change control.