摘要
针对现有永磁同步电机控制系统中存在的控制精度低、算法复杂、可靠性低,系统运行状态较差等问题,提出基于神经网络的永磁同步电机控制策略,构建了用于控制速度环比例-积分控制参数BP神经网络模型,并在Simulink仿真环境中构建了基于BP神经网络的永磁同步电机控制仿真系统,通过调速、变载等工况等验证了控制策略的可行性和有效性。
In allusion to the deficiencies existing in current control system of permanent magnet synchronous motor（PMSM） such as high algorithmic complexity, low reliability and control precision and operating status as well, the control strategy for PMSM based on BP neural network was presented. Then the BP neural net- work used to control the proportion and integral parameters for speed loop was build. And the simulation system for PMSM based on BP neural network control was set up in the Simulink environment. Thus, the feasibility and effectiveness of the control strategy of PMSM based on BP neural network was verified.
出处
《微电机》
2016年第11期57-61,共5页
Micromotors
基金
国家质检总局科技计划项目(2014IK198)
国家质检总局科技计划项目(2015IK038)
福建检验检疫局科技计划项目(FK2015-ND001)
关键词
永磁同步电机
控制
BP神经网络
permanent magnet synchronous motor
control
BP neural network
