【摘要】 提出一种基于RBF神经网络在线辨识的永磁同步电机单神经元PID矢量控制新方法,该方法针对传统的PI调节器固定参数所造成的不足,利用具有自适应能力的单神经元PID调节器和RBF神经网络相结合,实现了参数在线辨识,转速在线控制.仿真结果表明该方法控制精度高,动态特性好,适合于永磁同步电机的速度控制.更多还原

【Abstract】 A novel method of single neuron PID vector control for permanent magnet synchronous motor based on RBF neural network on-line identification is presented in this paper.In order to improve traditional PI adjustor with fixed parameters,the method realizes on-line identification of parameters and speed control with the adaptive single neuron PID adjustor and RBF neural network combining.Simulation results show that the method is with high control accuracy and good dynamic features,and it is fit to speed control for permanent magnet synchronous motor.更多还原