改进Jaya算法在永磁同步电机参数辨识中的应用研究  

Application of Enhanced Jaya Algorithm in Parameter Identification of Permanent Magnet Synchronous Motor

作　　者：罗锦达 李宁[1] 宋振东 Luo Jin-da;Li Ning;Song Zhen-dong(School of Mechanical Engineering,Yangtze University,Hubei Jingzhou 434023;Shenzhen Polytechnic University,Guangdong Shenzhen 518051)

机构地区：[1]长江大学机械工程学院,湖北荆州434023 [2]深圳职业技术大学,广东深圳518051

出　　处：《内燃机与配件》2025年第4期25-27,共3页Internal Combustion Engine & Parts

摘　　要：永磁同步电机的参数辨识对提高电机控制性能、实现电机故障检测诊断、提升能效等方面具有重要的现实意义。针对传统参数辨识方法存在辨识精度较低、时间成本高、实验复杂等缺陷,本文引入改进Jaya算法,结合永磁同步电机的数学模型,设计了一种基于改进Jaya算法的参数辨识方法,实现永磁同步电机的多参数辨识。仿真结果表明,该方法辨识速度快,稳定性好,精度较高,具有良好的实用性。Parameter identification of permanent magnet synchronous motor has important practical significance in improving motor control performance,realizing motor fault detection and diagnosis,and improving energy efficiency.Aiming at the defects of traditional parameter identification methods such as low identification accuracy,high time cost and complex experiment,this paper introduces Enhanced Jaya algorithm and designs a parameter identification method based on Enhanced Jaya algorithm combined with the mathematical model of permanent magnet synchronous motor to realize multi-parameter identification of permanent magnet synchronous motor.The simulation results show that the method has the advantages of fast identification speed,good stability,high precision and good practicability.

关 键 词：永磁同步电机 参数辨识 Jaya算法 SIMULINK仿真 

分 类 号：TM351[电气工程—电机]