基于RBF神经网络在线辨识的永磁同步电机单神经元PID矢量控制

his paper presents an novel approach of single neuron PID vector control for permanent magnet synchronous motor based on RBF neural network on-line identification. The method combine the adaptive single neuron PID adjustor with RBF neural network, and offset the defect of PI adjustor, and realize on-line identification and on-line control . The simulative results shows that the method is fit for the speed control and have high control accuracy and good dynamic trait.