单神经元PID控制器在永磁同步电机控制中的应用研究

Research on application of single neuron PID controller in PSPM control

永磁同步电机是一个非线性、强耦合、高阶的多变量系统,使用传统的PID控制难以满足精度高、反应快、鲁棒性好的要求.根据人工神经元的自学习功能建立了基于单神经元的PID控制器,并对其学习算法加以改进,实现了单神经元PID控制器参数在线自调整.仿真与实验结果表明:该控制方法无超调,响应快,具有良好的动态特性,具有比常规PID控制器更好的控制品质.

Because of the control Problems of nonlinearity coupling of electrical variables, model parameter uncertainty and external disturbance existing in permanent magnet synchronous motor（PMSM）, the traditional PID controller can not satisfy the requests of high-performance control, such as fast dynamic response and accurate speed or torque control and robustness, a type of PID controller based on artificial neural is proposed, and its improved algorithms were presented, the improved control algorithms adopted to achieve the parameter automatic adjustment on line. The results show that the system has good dynamic performance with quick response and no over shoot, this controller produces more preferable control quality than a classical PID controller.