基于传动模型重构的永磁同步直线电机机械参数辨识OA北大核心CSTPCD
Mechanical Parameter Identification of Permanent Magnet Synchronous Linear Motor Based on Transmission Model Reconstruction
针对永磁同步直线电机(permanent magnet synchronous linear motor,PMSLM)机械参数辨识中存在模型不准确、辨识参数耦合、辨识精度低等问题,该文提出一种基于传动模型重构的机械参数辨识算法.首先,根据重构模型建立扩张状态观测器得到动子质量和摩擦力、电磁推力、质量辨识初值的耦合信息;其次,为消除这种耦合,提出一种两级式的动子质量解耦辨识策略.再次,根据PMSLM的摩擦特性,构造一种综合考虑速度和加速度影响的摩擦力模型,更精确地描述真实摩擦力.最后,搭建基于机械参数辨识算法的控制系统,通过仿真和实验验证,证明所提辨识算法的有效性.
Aiming at the problems of inaccurate model,coupling of identification parameters,and low identification accuracy in the identification of permanent magnet synchronous linear motor(PMSLM)mechanical parameters,a mechanical parameter identification algorithm based on transmission model reconstruction was proposed in this paper.First,an extended state observer was established based on the reconstruction model to obtain the coupling information of the mover mass and friction force,electromagnetic thrust and initial value of mass identification.Secondly,in order to eliminate this coupling,a two-stage mover mass decoupling identification strategy was proposed.Thirdly,according to the friction characteristics of PMSLM,a friction force model that comprehensively considers the effects of velocity and acceleration was constructed to describe the real friction force more accurately.Finally,a control system based on the mechanical parameter identification algorithm was built,and the effectiveness of the identification algorithm proposed in this paper is proved by simulation and experimental verification.
鲍明堃;周扬忠;钟天云
福建省新能源发电与电能变换重点实验室(福州大学),福建省 福州市 350108
动力与电气工程
永磁同步直线电机机械参数辨识扩张状态观测拓展卡尔曼滤波解耦摩擦力模型
permanent magnet synchronous linear motor(PMSLM)mechanical parameter identificationexpansion state observationextended Kalman filterdecouplingfriction model
《中国电机工程学报》 2024 (004)
1597-1607,中插29 / 12
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