永磁同步电动机神经网络速度控制的仿真

Simulation of Permanent Magnet Synchronous Motor's Neural Network Speed Control

利用神经网络作为控制器 ,取代常规的PID控制器 ,实现永磁同步电动机调速系统速度控制的研究。仿真结果表明 :当突加负载扰动或参数突变时 ,神经网络控制与PID控制相比 ,具有恢复时间短 ,振荡小等特点 ,证明了神经网络控制的优越性。

Neural-network is used to realize the speed control in PMSM adjustable-speed system in the place of traditional PID controller. The simulation results show that the resuming time of rotate speed in neural-network control is much shorter than that in PID control system and the overshooting and oscillation during the resuming period is also weakened when the loads or preferences are suddenly increased or decreased. This confirms that the neural network control system works well.