基于BP神经网络的异步电机转子磁链定向矢量复合控制

针对异步电机在传统PI控制策略中,参数固定且容易超调,IP控制策略跟踪响应慢的特点,提出神经网络矢量PI-IP复合控制策略。在转子磁链定向矢量控制中,转速环引入新型的PI-IP控制器,同时利用神经网络进行参数整定,综合PI-IP控制器,神经网络以及转子磁链定向矢量控制的优点,完成神经网络矢量PI-IP控制器对异步电机的优化控制,提高系统的动、静态性能。最后基于仿真效验,仿真结果表明,与常规控制方法相比,该方法能有效提高控制精准性,抑制扰动,神经网络矢量PI-IP复合控制器具有更强的稳态精度和应对负载扰动能力。

Rotor Flux Oriented Vector Composite Control of Induction Motor Based on BP Neural Network

In view of the characteristics of the asynchronous motor in the traditional PI control strategy,the parameters are fixed and easy to overshoot,and the response of the IP control strategy is slow,the neural network vector PI-IP compound control strategy is proposed.In the directional vector control of rotor flux linkage,the speed loop introduces a new PI-IP controller.At the same time,the parameter tuning of the neural network is used,the advantages of the PI-IP controller,the neural network and the rotor flux orien-ted vector control are integrated,and the optimal control of the neural network vector PI-IP controller to the asynchronous motor is completed and the system movement is improved.Static performance.The simula-tion results are based on the simulation results.The simulation results show that,compared with the con-ventional control method,the proposed method can effectively improve the precision of control and sup-press the disturbance.The neural network vector PI-IP composite controller has a stronger steady state pre-cision and the ability to respond to the load disturbance.