Robust Nonlinear Control for Six-phase Permanent Magnet Synchronous Motor with Intelligent Uncertainty Observer
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- 英文论文题名：Robust Nonlinear Control for Six-phase Permanent Magnet Synchronous Motor with Intelligent Uncertainty Observer
- 论文作者：Liu Sheng ; Guo Xiaojie ; Wang Yuchao
- 英文论文作者：Liu Sheng ; Guo Xiaojie ; Wang Yuchao ; College of Automation ; Harbin Engineering University
- 年：2017
- 作者机构：College of Automation,Harbin Engineering University;
- 英文论文关键词：Permanent magnet synchronous motor(PMSM) ; adaptive backstepping sliding mode(ABSM) ; nonlinear robust control ; recurrent wavelet fuzzy neural network(RWFNN) ; uncertainty observer
- 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;TP273
- 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：817k
- 原文格式：D
- 会议级别：全国
摘要
This paper proposes a robust adaptive backstepping sliding mode control(ABSMC) algorithm for the speed regulation of a six-phase permanent magnet synchronous motor(PMSM). In the proposed technique, ABSMC is used to guarantee the speed tracking and parameter perturbation suppression, meanwhile, nonlinear H is utilized to minimize the influence of fastvarying load disturbances on its tracking output. To increase the anti-interference robustness and parameter insensitivity of the drive system, an uncertainty observer based on the recurrent wavelet fuzzy neural network is designed and applied to the robust ABSM controller. The effectiveness of the proposed control algorithm is verified by experimental results.
This paper proposes a robust adaptive backstepping sliding mode control(ABSMC) algorithm for the speed regulation of a six-phase permanent magnet synchronous motor(PMSM). In the proposed technique, ABSMC is used to guarantee the speed tracking and parameter perturbation suppression, meanwhile, nonlinear H is utilized to minimize the influence of fastvarying load disturbances on its tracking output. To increase the anti-interference robustness and parameter insensitivity of the drive system, an uncertainty observer based on the recurrent wavelet fuzzy neural network is designed and applied to the robust ABSM controller. The effectiveness of the proposed control algorithm is verified by experimental results.
This paper proposes a robust adaptive backstepping sliding mode control(ABSMC) algorithm for the speed regulation of a six-phase permanent magnet synchronous motor(PMSM). In the proposed technique, ABSMC is used to guarantee the speed tracking and parameter perturbation suppression, meanwhile, nonlinear H is utilized to minimize the influence of fastvarying load disturbances on its tracking output. To increase the anti-interference robustness and parameter insensitivity of the drive system, an uncertainty observer based on the recurrent wavelet fuzzy neural network is designed and applied to the robust ABSM controller. The effectiveness of the proposed control algorithm is verified by experimental results.
引文
[1]S.H.Chang,P.Y.Chen,Y.H.Ting and S.W.Hung,Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems,IET Electric Power Appl.,4(6):441–450,2010.
[2]F.J.Lin,I.F.Sun,K.J.Yang,and J.K.Chang,Recurrent fuzzy neural cerebellar model articulation network faulttolerant control of six-phase permanent magnet synchronous motor position servo drive,IEEE Trans.Fuzzy Syst.,24(1):153–167,2016.
[3]X.J.Ma,Y.X.Yu,H.Q.Zhang,W.Wang,and L.S.Liu,Study on direct torque control of dual Y shift 30 degree sixphase PMSM,IEEE Conf.Ind.Electron&Appl.(ICIEA2015),2015:1964–1968.
[4]X.G.Zhang,L.Z.Sun,K.Zhao and L.Sun,Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques,IEEE Trans.Power Electron.,28(9):1358–1365,2013.
[5]A.R.Ghafari-Kashani,J.Faiz and M.J.Yazdanpanah,Integration of non-linear H and sliding mode control techniques for motion control of a permanent magnet synchronous motor,IET Electric Power Appl.,4(4):267–280,2009.
[6]M.Zbynek,V.Libor and V.Pavel,PMSM model predictive control with field-weakening implementation,IEEE Trans.Ind.Electron.,63(8):5156–5166,2016.
[7]F.J.Lin,Y.C.Hung and M.T.Tsai,Fault-tolerant control for six-phase PMSM drive system via intelligent complementary sliding-mode control using TSKFNN-AMF,IEEE Trans.Ind.Electron.,60(12):5747–5762,2013.
[8]C.M.Lin and H.Y.Li,Intelligent control using the wavelet fuzzy CMAC backstepping control system for two-axis linear piezoelectric ceramic motor drive systems,IEEE Trans.Fuzzy Syst.,22(4):791–802,2014.
[9]F.J.Lin,Y.C.Hung and K.C.Ruan,An intelligent secondorder sliding-mode control for an electric power steering system using a wavelet fuzzy neural network,IEEE Trans.Fuzzy Syst.,22(6):1598–1611,2014.
[10]K.Murat and I.E.Halil,Design,modelling and simulation of a new nonlinear and full adaptive backstepping speed tracking controller for uncertain PMSM,Appl.Math.Model.,36:5199–5213,2012.
[11]K.V.Prashanth and N.H.Girisha,Parameter estimation of PMSM using adaptive backstepping technique,IEEE Conf.Advances in Energy Technol(ICAECT2014),2014:1–6.
[12]Q.L.Viet,H.C.Han and J.W.Jung,Fuzzy sliding mode speed controller for PM synchronous motors with a load torque observer,IEEE Trans.Power Electron.,27(3):1530–1539,2012.
[13]F.J.Lin,C.K.Chang and P.K.Huang,FPGA-based adaptive backstepping sliding-mode control for linear induction motor drive,IEEE Trans.Power Electron.,22(4):1222–1231,2007.
[14]H.Lin,W.S.Yan,Y.T.Wang,B.Gao and Y.Yao,Nonlinear sliding mode speed control of a PM synchronous motor drive using model reference adaptive backstepping approach,IEEE Conf.Mechatron.&Automat.(ICMA2009),2009:828–833.
[15]F.F.M.El-Sousy,Robust wavelet–neural network slidingmode control system for permanent magnet synchronous motor drive,IET Electric Power Appl.,5(1):113–132,2011.
[16]X.Wen,X.Li and E.S.Wang,Observer design for the single hidden layer fuzzy recurrent wavelet neural network,Chinese Journal of Radio Science,30(6):1197–1204,2015.
[17]C.H.Lin,R.C.Wu and C.C.Chong,Adaptive backstepping control for a PMSM drive using RFNN uncertainty observer,IEEE Conf.Ind.Electron.&Appl.(ICIEA2011),2011:62–67.
[18]F.J.Lin,K.J.Yang,I.F.Sun and J.K.Chang,Intelligent position control of permanent magnet synchronous motor using recurrent fuzzy neural cerebellar model articulation network,IET Electric Power Appl.,9(3):248–264,2015.
[19]Y.X.Wang,X.H.Wen and F.Zhao,Vector control of sixphase PMSMs with selective harmonic elimination PWM,IEEE Trans.Elect.Conf.&Expo Asia-Pacific(ITEC AsiaPacific2014),2014:1–5.
[20]F.J.Lin,Y.C.Hung,J.C.Hwang,and M.T.Tsai,Faulttolerant control of a six-phase motor drive system using a Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function,IEEE Trans.Power Electron.,28(7):3557–3572,2013.
[21]S.H.Li,M.M.Zhou and X.H.Yu,Design and implementation of terminal sliding mode control method for PMSM speed regulation system,IEEE Trans.Ind.Inform.,9(4):1879–1891,2013.
[2]F.J.Lin,I.F.Sun,K.J.Yang,and J.K.Chang,Recurrent fuzzy neural cerebellar model articulation network faulttolerant control of six-phase permanent magnet synchronous motor position servo drive,IEEE Trans.Fuzzy Syst.,24(1):153–167,2016.
[3]X.J.Ma,Y.X.Yu,H.Q.Zhang,W.Wang,and L.S.Liu,Study on direct torque control of dual Y shift 30 degree sixphase PMSM,IEEE Conf.Ind.Electron&Appl.(ICIEA2015),2015:1964–1968.
[4]X.G.Zhang,L.Z.Sun,K.Zhao and L.Sun,Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques,IEEE Trans.Power Electron.,28(9):1358–1365,2013.
[5]A.R.Ghafari-Kashani,J.Faiz and M.J.Yazdanpanah,Integration of non-linear H and sliding mode control techniques for motion control of a permanent magnet synchronous motor,IET Electric Power Appl.,4(4):267–280,2009.
[6]M.Zbynek,V.Libor and V.Pavel,PMSM model predictive control with field-weakening implementation,IEEE Trans.Ind.Electron.,63(8):5156–5166,2016.
[7]F.J.Lin,Y.C.Hung and M.T.Tsai,Fault-tolerant control for six-phase PMSM drive system via intelligent complementary sliding-mode control using TSKFNN-AMF,IEEE Trans.Ind.Electron.,60(12):5747–5762,2013.
[8]C.M.Lin and H.Y.Li,Intelligent control using the wavelet fuzzy CMAC backstepping control system for two-axis linear piezoelectric ceramic motor drive systems,IEEE Trans.Fuzzy Syst.,22(4):791–802,2014.
[9]F.J.Lin,Y.C.Hung and K.C.Ruan,An intelligent secondorder sliding-mode control for an electric power steering system using a wavelet fuzzy neural network,IEEE Trans.Fuzzy Syst.,22(6):1598–1611,2014.
[10]K.Murat and I.E.Halil,Design,modelling and simulation of a new nonlinear and full adaptive backstepping speed tracking controller for uncertain PMSM,Appl.Math.Model.,36:5199–5213,2012.
[11]K.V.Prashanth and N.H.Girisha,Parameter estimation of PMSM using adaptive backstepping technique,IEEE Conf.Advances in Energy Technol(ICAECT2014),2014:1–6.
[12]Q.L.Viet,H.C.Han and J.W.Jung,Fuzzy sliding mode speed controller for PM synchronous motors with a load torque observer,IEEE Trans.Power Electron.,27(3):1530–1539,2012.
[13]F.J.Lin,C.K.Chang and P.K.Huang,FPGA-based adaptive backstepping sliding-mode control for linear induction motor drive,IEEE Trans.Power Electron.,22(4):1222–1231,2007.
[14]H.Lin,W.S.Yan,Y.T.Wang,B.Gao and Y.Yao,Nonlinear sliding mode speed control of a PM synchronous motor drive using model reference adaptive backstepping approach,IEEE Conf.Mechatron.&Automat.(ICMA2009),2009:828–833.
[15]F.F.M.El-Sousy,Robust wavelet–neural network slidingmode control system for permanent magnet synchronous motor drive,IET Electric Power Appl.,5(1):113–132,2011.
[16]X.Wen,X.Li and E.S.Wang,Observer design for the single hidden layer fuzzy recurrent wavelet neural network,Chinese Journal of Radio Science,30(6):1197–1204,2015.
[17]C.H.Lin,R.C.Wu and C.C.Chong,Adaptive backstepping control for a PMSM drive using RFNN uncertainty observer,IEEE Conf.Ind.Electron.&Appl.(ICIEA2011),2011:62–67.
[18]F.J.Lin,K.J.Yang,I.F.Sun and J.K.Chang,Intelligent position control of permanent magnet synchronous motor using recurrent fuzzy neural cerebellar model articulation network,IET Electric Power Appl.,9(3):248–264,2015.
[19]Y.X.Wang,X.H.Wen and F.Zhao,Vector control of sixphase PMSMs with selective harmonic elimination PWM,IEEE Trans.Elect.Conf.&Expo Asia-Pacific(ITEC AsiaPacific2014),2014:1–5.
[20]F.J.Lin,Y.C.Hung,J.C.Hwang,and M.T.Tsai,Faulttolerant control of a six-phase motor drive system using a Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function,IEEE Trans.Power Electron.,28(7):3557–3572,2013.
[21]S.H.Li,M.M.Zhou and X.H.Yu,Design and implementation of terminal sliding mode control method for PMSM speed regulation system,IEEE Trans.Ind.Inform.,9(4):1879–1891,2013.