基于极限学习机的永磁同步电机MTPA 控制方法研究  

Research on the MTPA Control Method for Permanent Magnet Synchronous Motors Based on Extreme Learning Machine

作　　者：侯湘庆 钟浩 张楠楠 Hou Xiangqing;Zhong Hao;Zhang Nannan(Hunnan Electrical College of Technology,Xiangtan 411101,Hunan,China)

机构地区：[1]湖南电气职业技术学院,湖南湘潭411101

出　　处：《绿色科技》2024年第18期226-229,共4页Journal of Green Science and Technology

基　　金：湘潭市2023年指导性科技计划项目(编号:CG-ZDJH20231024);2024年湖南省自然科学基金项目(编号:2024JJ8046)。

摘　　要：内置式永磁同步电机参数会随电机运行于不同工况而发生变化,这将影响电驱系统的控制精度及稳定性,为此需要对电机参数进行在线辨识。通过I_(d)=0及d轴注入反向电流得到关于电阻、磁链、电感的满秩方程组,构造出极限学习机算法辨识的电机数学模型。利用极限学习机算法在线辨识电机参数,其结果应用于永磁同步电机MTPA控制系统中,在电驱系统不同工况下运行,测试系统的动静态性能。仿真实验结果表明:在不同的工况下,永磁同步电机电驱系统的转速、转矩、电流动态响应快,稳态脉动小,系统鲁棒性高。The parameters of the interior permanent magnet synchronous motor(IPMSM)can vary as the motor operates under different conditions,which will affect the control precision and stability of the electric drive system.Therefore,it is necessary to perform online identification of the motor parameters.This paper obtains a full-rank system of equations related to resistance,magnetic flux,and inductance by injecting reverse current into the d-axis when Id is zero,and constructs a mathematical model of the motor for identification using the extreme learning machine(ELM)algorithm.The ELM algorithm is then utilized to identify the motor parameters online,and the results are applied to the maximum torque per ampere(MTPA)control system of the IPMSM.The dynamic and static performance of the system is tested under different operating conditions of the electric drive system.Simulation experimental results show that under different working conditions,the IPMSM electric drive system exhibits fast dynamic responses in terms of speed,torque,current,small steady-state pulsations,and high system robustness.

关 键 词：内置式永磁同步电机 最大转矩电流比 极限学习机 参数辨识 

分 类 号：TM341[电气工程—电机]