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基于神经网络补偿的永磁同步电机控制
PMSM Control Based on Neural Network Compensation
【摘要】 当永磁同步电机采用矢量控制策略时,为了在改善系统跟踪性能的同时兼顾系统的抗干扰性能,可以将速度环控制由一自由度PID控制改为二自由度PID控制,改善系统的跟踪性能和抗干扰性能,此外由于PID控制参数不可调,为减小系统误差,可以引入BP神经网络算法对系统补偿,仿真结果表明,系统的跟踪特性和抗干扰性能都得到改善。
【Abstract】 Permanent magnet synchronous motors using the vector control strategy,in order to improve the system tracking performance with anti-interference performance in consideration,can change speed loop control by one degree of freedom PID control to two degrees of freedom PID control.And since PID control parameters can not be change,in order to reduce the system error we can introduce the BP neural network algorithm to the system compensation.Simulation results show that both the system tracking characteristics and anti-jamming performance are improved.
【关键词】 永磁同步电机;
矢量控制;
二自由度PID控制;
神经网络;
【Key words】 PMSM; neural network; two degrees PID control; vector control;
【Key words】 PMSM; neural network; two degrees PID control; vector control;
- 【文献出处】 电子科技 ,Electronic Science and Technology , 编辑部邮箱 ,2013年04期
- 【分类号】TM341
- 【被引频次】5
- 【下载频次】97