永磁同步电机新型智能矢量控制器设计

在分析永磁同步电机矢量控制基本原理的基础上,提出一种新型智能矢量控制器。其中,神经元用于速度控制,神经网络用于空间矢量脉宽调制。神经元速度控制器结构简单,计算量小,具有快速的动态响应和较高的稳态精度;而基于神经网络的空间矢量脉宽调制(ANN-SVM)算法实现容易,同时可以降低电流谐波。在Matlab/Simulink环境下建立永磁同步电机新型智能矢量控制系统仿真模型并进行仿真研究,仿真结果验证了新型智能矢量控制器的可行性和有效性。

Design of novel intelligent vector controller for PMSM

On the basis of analyzing the basic principle of vector control in permanent synchronous motor(PMSM) drive,a novel intelligent vector controller is proposed.Here,neuron is used in speed control,ANN is used in pulse width modulation(SVM).Neuron based speed controller has a simple structure and a small amount of computation,which results in not only fast dynamic response but also high steady-state accuracy.Meanwhile,an artificial neural network based SVM(ANN-SVM) algorithm can be realized easily with efficiently-reduced current harmonic.A PMSM drive simulation model with intelligent vector control is created and studied using Matlab/Simulink.The simulation results demonstrate the feasibility and validity of the intelligent vector controller.