Observability Analysis and EKF-Based Sensorless Control of Permanent Magnet Synchronous Machine
详细信息 查看官网全文
- 英文论文题名：Observability Analysis and EKF-Based Sensorless Control of Permanent Magnet Synchronous Machine
- 论文作者：Xin Wen ; Yan Zhang ; Yahong Lin
- 英文论文作者：Xin Wen ; Yan Zhang ; Yahong Lin ; Logistics Engineering College ; Shanghai Maritime University ; Department of Measurement Control Technology and Instruments ; Yantai University
- 年：2017
- 作者机构：Logistics Engineering College,Shanghai Maritime University;Department of Measurement Control Technology and Instruments,Yantai University;
- 英文论文关键词：observability analysis ; permanent magnet synchronous machine(PMSM) ; sensorless control ; high frequency injection(HFI) ; extended Kalman filter(EKF)
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（A）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
- 语种：英文
- 分类号：TM341
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：794k
- 原文格式：D
- 会议级别：全国
摘要
The observability analysis is presented and a combining method applying extended Kalman filter(EKF) and high frequency injection(HFI) method is proposed to realize the estimation of rotor speed and position at standstill and in normal situation for permanent magnet synchronous machine(PMSM). Considering the observability of start-up situation, a surfacemounted permanent magnet synchronous machine(SPMSM) model is developed using vector control method, then the high frequency injection methods are carried out to estimate the rotor speed and position accurately at standstill, while the extended Kalman filter algorithm is applied to validate the observability. Simulation results are shown that the proposed method can estimate the rotor position and speed accurately.
The observability analysis is presented and a combining method applying extended Kalman filter(EKF) and high frequency injection(HFI) method is proposed to realize the estimation of rotor speed and position at standstill and in normal situation for permanent magnet synchronous machine(PMSM). Considering the observability of start-up situation, a surfacemounted permanent magnet synchronous machine(SPMSM) model is developed using vector control method, then the high frequency injection methods are carried out to estimate the rotor speed and position accurately at standstill, while the extended Kalman filter algorithm is applied to validate the observability. Simulation results are shown that the proposed method can estimate the rotor position and speed accurately.
The observability analysis is presented and a combining method applying extended Kalman filter(EKF) and high frequency injection(HFI) method is proposed to realize the estimation of rotor speed and position at standstill and in normal situation for permanent magnet synchronous machine(PMSM). Considering the observability of start-up situation, a surfacemounted permanent magnet synchronous machine(SPMSM) model is developed using vector control method, then the high frequency injection methods are carried out to estimate the rotor speed and position accurately at standstill, while the extended Kalman filter algorithm is applied to validate the observability. Simulation results are shown that the proposed method can estimate the rotor position and speed accurately.
引文
[1]S.Srikanth,B.Ranganaik and M.Srinivas Rao,Space vector PWM techniques and high temperature super conducting PMSM machines with multilevel Inverter,IEEE-International Conference On Advances In Engineering,Science And Management(ICAESM-2012),Nagapattinam,Tamil Nadu,2012:522–527.
[2]S.K.Kommuri,M.Defoort,H.R.Karimi and K.C.Veluvolu,A Robust Observer-Based Sensor Fault-Tolerant Control for PMSM in Electric Vehicles,in IEEE Transactions on Industrial Electronics,63(12):7671–7681,2016.
[3]S.Bolognani,S.Calligaro and R.Petrella,Design Issues and Estimation Errors Analysis of Back-EMF-Based Position and Speed Observer for SPM Synchronous Motors,in IEEE Journal of Emerging and Selected Topics in Power Electronics,2(2):159–170,2014.
[4]N.K.Quang,N.T.Hieu and Q.P.Ha,FPGA-Based Sensorless PMSM Speed Control Using Reduced-Order Extended Kalman Filters,in IEEE Transactions on Industrial Electronics,61(12):6574–6582,2014.
[5]H.Lee and J.Lee,Design of Iterative Sliding Mode Observer for Sensorless PMSM Control,in IEEE Transactions on Control Systems Technology,21(4):1394–1399,2013.
[6]FENG Yingben,CHEN Hui,Sensorless drive of surfacemounted PMSM for EPS based on highfrequency signal injection,Journal of Jilin University(Engineering and Technology Edition),41(2):65–69,2011.
[7]LI Yuan-yuan,HUANG Shou-dao,XU Qiong,et al,Sensorless control of permanent magnet synchronous motor based on high frequency voltage signal injection,Transactions of China Electrotechnical Society,28(1):326–330,2013.
[8]M.Koteich,A.Maloum,G.Duc and G.Sandou,Permanent magnet synchronous drives observability analysis for motionsensorless control,2015 IEEE Symposium on Sensorless Control for Electrical Drives(SLED),Sydney,NSW,2015:1–8.
[9]F.Abry,A.Zgorski,X.Lin-Shi and J.M.Retif,Sensorless position control for SPMSM at zero speed and acceleration,Proceedings of the 2011 14th European Conference on Power Electronics and Applications,Birmingham,2011:1–9.
[10]R.E.Kalman,A New Approach to Linear Filtering and Prediction Problems,J.basic Eng.trans.asme,82D(1):35–45,1960.
[11]M.Gowda,W.H.Ali,P.Cofie,et al.Design and Digital Implementation of Controller for PMSM Using Extended Kalman Filter,Circuits&Systems,04(8):489–497,2013.
[2]S.K.Kommuri,M.Defoort,H.R.Karimi and K.C.Veluvolu,A Robust Observer-Based Sensor Fault-Tolerant Control for PMSM in Electric Vehicles,in IEEE Transactions on Industrial Electronics,63(12):7671–7681,2016.
[3]S.Bolognani,S.Calligaro and R.Petrella,Design Issues and Estimation Errors Analysis of Back-EMF-Based Position and Speed Observer for SPM Synchronous Motors,in IEEE Journal of Emerging and Selected Topics in Power Electronics,2(2):159–170,2014.
[4]N.K.Quang,N.T.Hieu and Q.P.Ha,FPGA-Based Sensorless PMSM Speed Control Using Reduced-Order Extended Kalman Filters,in IEEE Transactions on Industrial Electronics,61(12):6574–6582,2014.
[5]H.Lee and J.Lee,Design of Iterative Sliding Mode Observer for Sensorless PMSM Control,in IEEE Transactions on Control Systems Technology,21(4):1394–1399,2013.
[6]FENG Yingben,CHEN Hui,Sensorless drive of surfacemounted PMSM for EPS based on highfrequency signal injection,Journal of Jilin University(Engineering and Technology Edition),41(2):65–69,2011.
[7]LI Yuan-yuan,HUANG Shou-dao,XU Qiong,et al,Sensorless control of permanent magnet synchronous motor based on high frequency voltage signal injection,Transactions of China Electrotechnical Society,28(1):326–330,2013.
[8]M.Koteich,A.Maloum,G.Duc and G.Sandou,Permanent magnet synchronous drives observability analysis for motionsensorless control,2015 IEEE Symposium on Sensorless Control for Electrical Drives(SLED),Sydney,NSW,2015:1–8.
[9]F.Abry,A.Zgorski,X.Lin-Shi and J.M.Retif,Sensorless position control for SPMSM at zero speed and acceleration,Proceedings of the 2011 14th European Conference on Power Electronics and Applications,Birmingham,2011:1–9.
[10]R.E.Kalman,A New Approach to Linear Filtering and Prediction Problems,J.basic Eng.trans.asme,82D(1):35–45,1960.
[11]M.Gowda,W.H.Ali,P.Cofie,et al.Design and Digital Implementation of Controller for PMSM Using Extended Kalman Filter,Circuits&Systems,04(8):489–497,2013.