摘要
针对高密度永磁同步电机在电枢反应强烈、永磁体温度过高下永磁体可能发生的退磁风险,以及现有永磁电机过温降功率保护策略对牵引系统影响较大,提出一种基于有限元模型结合多目标粒子群(MOPSO)优化的高密度永磁同步电机永磁体防退磁控制策略。首先,利用有限元仿真得出不同永磁体温度下的全域工况永磁体工作状态及电机输出特性,并建立不同温度下的全域工况状态空间模型。其次,以防退磁及对牵引系统产生影响最小为目标,建立了基于粒子群算法的多目标优化求解模型。最后,基于以上状态空间模型及多目标优化求解模型设计了永磁电机永磁体防退磁控制策略,并对永磁电机各工况下永磁体发生退磁临界值时,进行了特征点的防退磁策略结果验证,仿真结果表明,提出的控制策略能够有效预防高温下永磁体退磁故障的发生,并对牵引系统产生较小的影响。
Aiming at the risk of demagnetization of the permanent magnets of high-density permanent magnet synchronous mo⁃tors when the armature reaction is strong and the permanent magnet temperature is too high,and the existing permanent magnet mo⁃tor over-temperature power protection strategy has a great influence on the traction system,a new method is proposed based on the finite element model combined with the multi-objective particle swarm(MOPSO)optimization of the high-density permanent mag⁃net synchronous motor permanent magnet anti-demagnetization control strategy.Firstly,the finite element simulation is used to ob⁃tain the working state of the permanent magnet and the output characteristics of the motor under different permanent magnet tempera⁃tures,and the state space model of the global working condition under different temperatures is established.Secondly,in order to prevent demagnetization and minimize the impact on the traction system,a multi-objective optimization model based on particle swarm optimization is established.Finally,based on the above state space model and multi-objective optimization solution model,an anti-demagnetization control strategy for permanent magnets of permanent magnet motors is designed,and the anti-demagnetiza⁃tion strategies for feature points are carried out when the critical value of permanent magnet demagnetization occurs in the permanent magnet motor under various working conditions.The results verify that the simulation results show that the proposed control strategy can effectively prevent the occurrence of permanent magnet demagnetization faults at high temperature,and has a small impact on the traction system.
作者
王超
师蔚
WANG Chao;SHI Wei(School of Urban Railway Transportation,Shanghai University of Engineering Science,Shanghai 201620)
出处
《计算机与数字工程》
2025年第2期578-586,共9页
Computer & Digital Engineering
基金
国家“十三五”科技部重点研发计划项目(编号:2016YFB0100700)资助。
关键词
高密度永磁同步电机
多目标粒子群优化
防退磁
控制策略
high-density permanent magnet synchronous motor
multi-objective particle swarm optimization
anti-demag⁃netization
control strategy
