PMSM神经网络实时IP位置控制

对永磁同步电机 (PMSM )提出了一种基于神经网络的实时IP位置控制方案·根据伺服系统中的IP控制策略 ,利用神经网络的优点设计了神经网络实时IP位置控制器·所设计的神经网络实时IP位置控制器结构简单 ,权值调整计算量小、速度快·同时用混合神经网络作为PMSM系统辨识器 ,用多步预测性能指标函数实现了实时在线训练·理论分析和实验仿真对比研究的结果 ,表明所提出方法具有优越的动态性能和鲁棒性·

Real-Time IP Position Control for PMSM Based on Neural Network

A neural-network-based real-time IP position control scheme for permanent magnet synchronous motor(PMSM) was proposed. According to the IP control scheme of servo system, a neural-network real-time IP position controller was implemented by the superior approximate performance of neural network. The simple neural network real-time IP position controller reduces computation amount of weight adjustment and speed up the computation. The controller is suitable for real-time control. A hybrid neural network was applied as identificator of PMSM system, and algorithm under multi-step predictive index function was used to train neural network on-line. The load torque was acquired from the identificator, and fed forward to compensate the load torque disturbance. The proposed strategy has high-performance dynamic characteristics and stronger robustness.