结合迭代学习与扰动观测器的永磁同步电机多源扰动抑制

冯煜焜, 姚文熙, 李武华

振动与冲击 ›› 2025, Vol. 44 ›› Issue (3) : 230-237.

PDF(2315 KB)
PDF(2315 KB)
振动与冲击 ›› 2025, Vol. 44 ›› Issue (3) : 230-237.
故障诊断分析

结合迭代学习与扰动观测器的永磁同步电机多源扰动抑制

  • 冯煜焜,姚文熙*,李武华
作者信息 +

Multi-source disturbance suppression of permanent magnet synchronous motor with iterative learning and disturbance observer

  • FENG Yukun, YAO Wenxi*, LI Wuhua
Author information +
文章历史 +

摘要

由于电机本体、驱动电路及机械连接等多环节因素影响,传统PI(proportional integral)控制下永磁同步电机在低速运行时易出现较大的转速波动。首先,建立多源性力矩扰动模型与分析转速波动机理,将扰动分为与机械角相关的周期性干扰与非周期低频干扰两部分;然后,提出一种结合迭代学习控制与扰动观测器的扰动抑制策略,利用控制误差对周期性扰动进行在线学习,利用反馈状态量结合学习信息对低频非周期扰动进行观测,将两部分结果共同补偿到电磁力矩,实现对多源性扰动的抑制。在给出所提控制器结构基础上,分析了所提控制策略的有效性与收敛性,给出控制器主要参数设计方式。实验结果表明所提控制策略相较于传统控制策略整体动态性能相近,在稳态时相较于PI控制将转速波动抑制到1/4以下,相较于传统抑振策略整体转速波动在1/2以下,在负载力矩突变时相较于PI控制速度变化在1/2以下,证明所提算法在多源性扰动抑制方面的有效性与优越性。

Abstract

Due to the influence of multiple factors such as the motor body, drive circuit and mechanical connection, the permanent magnet synchronous motor under traditional PI(proportional integral) control is prone to large speed fluctuations during low-speed operation. First, the multi-source disturbance model is established with analyzing the mechanism of rotational speed disturbance, and the disturbance is divided into two parts: the periodic disturbance related to the mechanical angle and the non-periodic low-frequency disturbance; then, a disturbance suppression strategy combining iterative learning control and disturbance observer is proposed, which utilizes the control error for online learning of periodic disturbance, and the feedback state combined with the learning information for observation of low-frequency nonperiodic disturbance, and the results of the two parts are jointly compensated to the electromagnetic torque to achieve a good suppression of multi-source disturbance. On the basis of the proposed controller structure, the effectiveness and convergence of the proposed control strategy are analyzed, and the main parameters of the controller are designed and selected. The experimental results show that the proposed control strategy has similar overall dynamic performance compared to the traditional control strategy, the speed fluctuation is suppressed to less than 1/4 in steady state compared to the PI control, the overall speed fluctuation is less than 1/2 compared to the traditional vibration suppression strategy, and the speed change is less than 1/2 compared to the PI control in the case of a sudden change in the load torque, which proves the effectiveness and superiority of the proposed algorithm in the suppression of multi-source disturbances.

关键词

永磁同步电机 / 多源性扰动 / 迭代学习控制 / 扰动观测器

引用本文

导出引用
冯煜焜, 姚文熙, 李武华. 结合迭代学习与扰动观测器的永磁同步电机多源扰动抑制[J]. 振动与冲击, 2025, 44(3): 230-237
FENG Yukun, YAO Wenxi, LI Wuhua. Multi-source disturbance suppression of permanent magnet synchronous motor with iterative learning and disturbance observer[J]. Journal of Vibration and Shock, 2025, 44(3): 230-237

参考文献

[1] 李景灿,廖勇.考虑饱和及转子磁场谐波的永磁同步电机模型[J].中国电机工程学报,2011,31(03):60-66.
LI Jingcan,LIAO Yong.Model of Permanent Magnet Synchronous Motor Considering Saturation and Rotor Flux Harmonics[J].Proceedings of the CSEE,2011,31(03):60-66.
[2] 杨志坚,张雨国,吴兆乾,等.PMSM齿槽转矩引起的转速谐波数学模型与最小化方法[J].电机与控制学报,2023,27(03):30-41.
YANG Zhijian,ZANG Yunguo,WU Zhaoqian,et al.Mathematical model and minimization method of speed harmonic caused by cogging torque of PMSM[J].Electric Machines and Control,2023,27(03):30-41.
[3] 蔡志端,王培良,荀倩,等.永磁同步电机相电流测量误差分析与补偿[J].电工技术学报,2016,31(23):22-30.
CAI Zhiduan,WANG Peiliang,XUN Qian,et al.Measurement Error Analysis and Its Compensation for Phase Current of Permanent Magnet Synchronous Motor[J].Transactions of China Electrotechnical Society,2016,31(23):22-30.
[4] 岳二团,甘春标,杨世锡.气隙偏心下永磁电机转子系统的振动特性分析[J] .振动与冲击,2014,33(08):29-34.
YUE Ertuan,CAN Chunbiao,YANG Shixi.Vibration characteristics analysis of a rotor for a permanent magnet motor with Air-Gap Eccentricity[J] .Journal of Vibration and Shock,2014,33(08):29-34.
[5] 李全峰,黄厚佳,黄苏融,等.表贴式永磁电机转子偏心故障快速诊断研究[J].电机与控制学报,2019,23(12):48-58+67.
LI Quanfeng,HUANG Houjia,HUANG Surong,et al.Research on fast diagnosis of rotor eccentricity fault for surface-mounted permanent magnet motor[J].Electric Machines and Control,2019,23(12):48-58+67.
[6] GU W,ZHANG Y,LI S H.Research on friction compensation for PMSM servo systems[C]//2016 Chinese Control and Decision Conference (CCDC),Yinchuan,China,2016:6735-6740.
[7] LEE K,HA J I,SIMILI D.Analysis and Suppression of Slotting and Cross-coupling Effects on Current Control in PM Synchronous Motor Drives[J].IEEE Transactions on Power Electronics,2019,34(10):9942-9956.
[8] NAKAO N,TOBARI K,SUGINO T,et al.Minimizating Pulsating Torque in PMSM Drives by using Feedforward-based Compensation and Flux-harmonic Estimation[C]//2020 IEEE Energy Conversion Congress and Exposition (ECCE),Detroit,MI,USA,2020:3030-3037.
[9] 纪科辉,沈建新.采用扰动转矩观测器的低速电机伺服系统[J].中国电机工程学报,2012,32(15):100-106+9.
JI Kehui,SHEN Jianxin.A Low Speed Servo Motor Drive System With Disturbance Torque Observers[J].Proceedings of the CSEE,2012,32(15):100-106+9.
[10] 陈炜,郭照升,夏长亮,等.基于转动惯量辨识的交流伺服系统自适应扰动观测器设计[J].电工技术学报,2016,31(16):34-42.
CHEN Wei,GUO Zhaosheng,XIA Changliang,et al.Design of Adaptive Disturbance Observer for AC Servo System with Inertia Identification[J].Transactions of China Electrotechnical Society,2016,31(16):34-42.
[11] 张海洋,许海平,方程,等.基于负载转矩观测器的直驱式永磁同步电机新型速度控制器设计[J].电工技术学报,2018,33(13):2923-2934.
ZHANG Haiyang,XU Haiping,FANG Cheng,et al.Design of a Novel Speed Controller for Direct-Drive Permanent Magnet Synchronous Motor Based on Load Torque Observer[J].Transactions of China Electrotechnical Society,2018,33(13):2923-2934.
[12] JO N H,JEON C,SHIM H.Noise Reduction Disturbance Observer for Disturbance Attenuation and Noise Suppression[J].IEEE Transactions on Industrial Electronics,2016,64(2):1381-1391.
[13] 赵希梅,武文斌,朱国昕.基于扩展卡尔曼滤波器的高速永磁直线同步电机扰动前馈补偿[J].电工技术学报,2018,33(07):1516-1522.
ZHAO Ximei,WU Wenbin,ZHU Guoxin.Disturbance Feed-Forward Compensation for High-Speed Permanent Magnet Linear Synchronous Motor Based on Extended Kalman Filter[J].IEEE Transactions on Industrial Electronics,2018,33(07):1516-1522.
[14] LI W S,ZHANG J,LI Y.A simpler and more efficient iterative learning controller for PMSM torque ripple reduction[C]//2013 International Conference on Electrical Machines and Systems (ICEMS),Busan,Korea(South),2013:1231-1235.
[15] 吴春,齐蓉.PWM电压源逆变器非线性因素迭代学习补偿[J].中国电机工程学报,2015,35(03):702-709.
WU Chun,QI Rong.An Iterative-learning-based Compensation for PWM VSI Nonlinearities[J].Proceedings of the CSEE,2015,35(03):702-709.
[16] YAN Y,LI W H,DENG W T,et al.Torque ripple minimization of PMSM using PI type iterative learning control[C]// IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society,Dallas,TX,USA,2014:925-931.
[17] 郭晓临,刘洋,林娜,等.基于扩展状态观测器的量化无模型自适应迭代学习控制[EB/OL].(2023-12-15)[2024-05-13].https://link.cnki.net/urlid/44.1240.tp.20231213.1542.050.
[18] TO;OUE S F,MOALLEM M.PMSM Torque Ripple Minimization Using an Adaptive Iterative Learning Control[C]//IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society,Singapore,2020:335-340.
[19] FEI Q,DENG Y T,LI H W,et al.Speed Ripple Minimization of Permanent Magnet Synchronous Motor Based on Model Predictive and Iterative Learning Controls[J].IEEE Access,2019,7:31791-31800.
[20] 李雪芳,李晓东,刘万泉.自适应迭代学习控制的发展现状与展望[EB/OL].(2023-12-14)[2024-05-13].

PDF(2315 KB)

Accesses

Citation

Detail

段落导航
相关文章

/