永磁同步电机单神经元PID控制研究

Research on the Control System of Permanent Magnet Synchronous Motor Based on Single Neuron PID Controller

电气传动领域中的被控对象由于具有高阶、非线性、强耦合等特点,采用传统的PID控制方法难以实现精确控制。设计了一种具有自适应、自学习功能的单神经元PID控制器并将其应用于永磁同步电动机矢量控制系统中,利用Matlab/Simulink仿真软件对系统进行了仿真研究。仿真结果表明:采用单神经元控制的调速系统具有更好的起动性能,当负载或电机参数突变时,该系统具有恢复时间短、超调小等特点,表现出了很强的自适应性和鲁棒性,证明所设计的控制器是一种有效的控制器。

The traditional control method of PID is very difficult to meet the need of high reliability in electric drive field as the controlled object has characteristics of higher order, nonlinear and coupling. Aiming at the shortcomings, the vector control system of permanent magnet synchronous motor based on single neuron PID controller which has the capability of self-studying and self-adapting was designed. Simulation experiments were done in circumstance of Matlab/Simulink. The results show that the system has better start-up performance which can reach stability faster with less oscillation under the occurrence of parameter or load variations, and reveals strong adaptation and rubness.