基于双无迹卡尔曼滤波算法的永磁同步电机转子磁链辨识
|
摘要
转子磁链的准确辨识是实现永磁同步电机(permanent magnet synchronous motor,PMSM)转子磁场监控,确保其驱动系统可靠运行并实现高性能控制的有效方法。为解决测量噪声、电机参数变化及辨识模型欠秩对转子磁链辨识精度影响的问题,提出了基于双无迹卡尔曼滤波(unscented Kalman filter,UKF)算法的PMSM转子磁链辨识方法,可在确保满秩辨识的前提下,减小测量噪声与电机参数变化对转子磁链辨识精度的影响,实现PMSM转子磁链的准确辨识,并在参数敏感性分析的基础上,降低了算法计算量,合理兼顾了辨识精度与辨识速度。对所提方法进行了仿真研究和实验验证,研究结果证实了所提方法的有效性。
Accurate identification of rotor flux linkage is an effective method to monitor the rotor magnetic field of permanent magnet synchronous motor( PMSM),guarantee the reliable operation and high performance control of PMSM drive system. For solving the problem of negative impacts on identification precise of rotor flux linkage produced by measurement noise,parameters variation of PMSM and deficient rank of identification model,the identification method for rotor flux linkage of PMSM based on dual unscented Kalman filter( UKF) is proposed,in consequence,the negative impacts on identification precise of rotor flux linkage induced by measurement noise and parameters variation of PMSM is reduced on the premise of ensuring full rank identification,the accurate identification of rotor flux linkage is achieved,the algorithm computation is also reduced based on parameters sensitivity analysis,and the reasonable balance of identification accuracy and identification speed is achieved. The simulation research and experimental validation of the proposed method is implemented,and the research results verified the effectiveness of the proposed method.
Accurate identification of rotor flux linkage is an effective method to monitor the rotor magnetic field of permanent magnet synchronous motor( PMSM),guarantee the reliable operation and high performance control of PMSM drive system. For solving the problem of negative impacts on identification precise of rotor flux linkage produced by measurement noise,parameters variation of PMSM and deficient rank of identification model,the identification method for rotor flux linkage of PMSM based on dual unscented Kalman filter( UKF) is proposed,in consequence,the negative impacts on identification precise of rotor flux linkage induced by measurement noise and parameters variation of PMSM is reduced on the premise of ensuring full rank identification,the accurate identification of rotor flux linkage is achieved,the algorithm computation is also reduced based on parameters sensitivity analysis,and the reasonable balance of identification accuracy and identification speed is achieved. The simulation research and experimental validation of the proposed method is implemented,and the research results verified the effectiveness of the proposed method.
引文
1李红梅,陈涛.永磁同步电机参数辨识研究综述[J].电子测量与仪器学报,2015,29(5):638-647Li Hongmei,Chen Tao.Review of research on parameter identification of PMSM[J].Journal of Electronic Measurement and Instrumentation,2015,29(5):638-647
2 Henwood N,Malaize J,Praly L.A robust nonlinear Luenberger observer for the sensorless control of SM-PMSM:Rotor position and magnets flux estimation[C]//38th Annual Conference on IEEE Industrial Electronics Society.Montreal:IEEE,2012:1625-1630
3 Moon S,Lee J,Jeong H Y,et al.Demagnetization fault diagnosis of a PMSM based on structure analysis of motor inductance[J].IEEETransactions on Industrial Electronics,2016,63(6):3795-3803
4肖曦,许青松,王雅婷.基于遗传算法的内埋式永磁同步电机参数辨识方法[J].电工技术学报,2014,29(3):21-26Xiao Xi,Xu Qingsong,Wang Yating.Parameter identification of interior permanent magnet synchronous motors based on genetic algorithm[J].Transactions of China Electrotechnical Society,2014,29(3):21-26
5 Liu G B,Zhang J,Liu Z H.Parameter identification of PMSM using immune clonal selection differential evolution algorithm[J].Mathematical Problems in Engineering,2014(2):1-10
6 Wu L H,Liu Z H,Wei H H,et al.Parameter identification of permanent magnet synchronous machine based on adaptive mutation dynamic differential evolution[J].Journal of Dynamic Systems Measurement and Control-Transaction for the ASME,2017,139(6):1-10
7 Liu Z H,Wei H L,Zhong Q C,et al.Parameter estimation for VSI-Fed PMSM based on dynamic PSO with learning strategries[J].IEEETransactions on Power Electronics,2017,32(4):3154-3165
8肖曦,张猛,李永东.永磁同步电机永磁体状况在线监测[J].中国电机工程学报,2007,27(24):43-47Xiao Xi,Zhang Meng,Li Yongdong.On-line estimation of permanent magnet flux linkage ripple for PMSM[J].Proceeding of the CSEE,2007,27(24):43-47
9 Xiao X,Chen C M,Zhang M.Dynamic permanent magnet flux estimation of permanent magnet synchronous machines[J].IEEE Transactions on Applied Superconductivity,2010,20(3):1085-1088
10文传博,齐亮.永磁同步电机磁链信息在线监测的新方法[J].电力系统及其自动化学报,2010,22(2):22-26Wen Chuanbo,Qi Liang.On-line detection method of magnet flux linkage for permanent magnet synchronous motor[J].Proceedings of the Chinese Society of University for Electric Power System and Its Automation,2010,22(2):22-26
11安群涛,孙力,赵克.一种永磁同步电动机参数的自适应在线辨识方法[J].电工技术学报,2008,23(6):31-36An Quntao,Sun Li,Zhao Ke.An adaptive on-line identification method for the parameters of permanent magnet synchronous motor[J].Transactions of China Electrotechnical Society,2008,23(6):31-36
12 Lee D M.On-line parameter identification of SPM motors based on MRAS technique[J].International Journal of Electronics,2017,104(4):593-607
13杨宗军,王莉娜.表贴式永磁同步电机的多参数在线辨识[J].电工技术学报,2014,29(3):111-118Yang Zongjun,Wang Lina.Online multi-parameter identification for surface-mounted permanent magnet synchronous motors[J].Transactions of China Electrotechnical Society,2014,29(3):111-118
14 Underwood S J,Husain I.Online parameter estimation and adaptive control of permanent-magnet synchronous machines[J].IEEETransactions on Industrial Electronics,2010,57(7):2435-2443
15李红梅,陈涛.电动汽车PMSM退磁故障诊断及故障模式识别[J].电工技术学报,2017,32(5):1-8Li Hongmei,Chen Tao.Demagnetization fault diagnosis and fault mode recognition of PMSM for EV[J].Transactions of China Electrotechnical Society,2017,32(5):1-8
16 Julier S J,Uhlmann J K,Durrant-Whyte H F.New approach for filtering nonlinear systems[C]//Proceedings of the American Control Conference.Washington,D.C.:IEEE,1995:1628-1632
2 Henwood N,Malaize J,Praly L.A robust nonlinear Luenberger observer for the sensorless control of SM-PMSM:Rotor position and magnets flux estimation[C]//38th Annual Conference on IEEE Industrial Electronics Society.Montreal:IEEE,2012:1625-1630
3 Moon S,Lee J,Jeong H Y,et al.Demagnetization fault diagnosis of a PMSM based on structure analysis of motor inductance[J].IEEETransactions on Industrial Electronics,2016,63(6):3795-3803
4肖曦,许青松,王雅婷.基于遗传算法的内埋式永磁同步电机参数辨识方法[J].电工技术学报,2014,29(3):21-26Xiao Xi,Xu Qingsong,Wang Yating.Parameter identification of interior permanent magnet synchronous motors based on genetic algorithm[J].Transactions of China Electrotechnical Society,2014,29(3):21-26
5 Liu G B,Zhang J,Liu Z H.Parameter identification of PMSM using immune clonal selection differential evolution algorithm[J].Mathematical Problems in Engineering,2014(2):1-10
6 Wu L H,Liu Z H,Wei H H,et al.Parameter identification of permanent magnet synchronous machine based on adaptive mutation dynamic differential evolution[J].Journal of Dynamic Systems Measurement and Control-Transaction for the ASME,2017,139(6):1-10
7 Liu Z H,Wei H L,Zhong Q C,et al.Parameter estimation for VSI-Fed PMSM based on dynamic PSO with learning strategries[J].IEEETransactions on Power Electronics,2017,32(4):3154-3165
8肖曦,张猛,李永东.永磁同步电机永磁体状况在线监测[J].中国电机工程学报,2007,27(24):43-47Xiao Xi,Zhang Meng,Li Yongdong.On-line estimation of permanent magnet flux linkage ripple for PMSM[J].Proceeding of the CSEE,2007,27(24):43-47
9 Xiao X,Chen C M,Zhang M.Dynamic permanent magnet flux estimation of permanent magnet synchronous machines[J].IEEE Transactions on Applied Superconductivity,2010,20(3):1085-1088
10文传博,齐亮.永磁同步电机磁链信息在线监测的新方法[J].电力系统及其自动化学报,2010,22(2):22-26Wen Chuanbo,Qi Liang.On-line detection method of magnet flux linkage for permanent magnet synchronous motor[J].Proceedings of the Chinese Society of University for Electric Power System and Its Automation,2010,22(2):22-26
11安群涛,孙力,赵克.一种永磁同步电动机参数的自适应在线辨识方法[J].电工技术学报,2008,23(6):31-36An Quntao,Sun Li,Zhao Ke.An adaptive on-line identification method for the parameters of permanent magnet synchronous motor[J].Transactions of China Electrotechnical Society,2008,23(6):31-36
12 Lee D M.On-line parameter identification of SPM motors based on MRAS technique[J].International Journal of Electronics,2017,104(4):593-607
13杨宗军,王莉娜.表贴式永磁同步电机的多参数在线辨识[J].电工技术学报,2014,29(3):111-118Yang Zongjun,Wang Lina.Online multi-parameter identification for surface-mounted permanent magnet synchronous motors[J].Transactions of China Electrotechnical Society,2014,29(3):111-118
14 Underwood S J,Husain I.Online parameter estimation and adaptive control of permanent-magnet synchronous machines[J].IEEETransactions on Industrial Electronics,2010,57(7):2435-2443
15李红梅,陈涛.电动汽车PMSM退磁故障诊断及故障模式识别[J].电工技术学报,2017,32(5):1-8Li Hongmei,Chen Tao.Demagnetization fault diagnosis and fault mode recognition of PMSM for EV[J].Transactions of China Electrotechnical Society,2017,32(5):1-8
16 Julier S J,Uhlmann J K,Durrant-Whyte H F.New approach for filtering nonlinear systems[C]//Proceedings of the American Control Conference.Washington,D.C.:IEEE,1995:1628-1632
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |