Volume 16 Issue 6
Nov.  2023
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SONG Xiao-li, ZHANG Chi, GUO Ya-wei. A sliding-mode control of a Dual-PMSMs synchronization driving method[J]. Chinese Optics, 2023, 16(6): 1482-1492. doi: 10.37188/CO.EN-2022-0026
Citation: SONG Xiao-li, ZHANG Chi, GUO Ya-wei. A sliding-mode control of a Dual-PMSMs synchronization driving method[J]. Chinese Optics, 2023, 16(6): 1482-1492. doi: 10.37188/CO.EN-2022-0026

A sliding-mode control of a Dual-PMSMs synchronization driving method

doi: 10.37188/CO.EN-2022-0026
Funds:  Supported by National Natural Science Foundation of China (No. 11673045); Joint Found of National Natural Science of China (No. U2031147)
More Information
  • Author Bio:

    Song Xiao-Li (1978—), female, born in Henan Province. She received her Ph.D. degree in astrophysics from the Graduate University of Chinese Academy of Sciences, China, in 2012. She won the Excellent Award of the President of the Chinese Academy of Sciences in 2012. She received her B.S. and M.S. degrees in Power Electronics and Power Drive from Anhui University of Science & Technology, China in 2001 and 2004, respectively. From 2012 to 2015, she was an assistant research fellow with the Telescope New Technology Laboratory, National Astronomical Observatories/Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences. Since 2016, she has been an associate research fellow with the Telescope New Technology Laboratory, National Astronomical Observatories/Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences. Her research interests focus on the driving & control of the axes control systems of large-aperture telescopes and the multi-motor driving and control of dynamic systems. She has published numerous papers in journals and international conferences, applied for and received several patents, and presided over and participated in many projects for the National Natural Science Foundation of China related to the above topics. E-mail: xlsong@niaot.ac.cn

  • Corresponding author: xlsong@niaot.ac.cn
  • Received Date: 23 Nov 2022
  • Rev Recd Date: 23 Dec 2022
  • Accepted Date: 30 Jan 2023
  • Available Online: 06 Jun 2023
  • Speed synchronization performance and anti-interference are important factors that affect the synchronous operation dynamic response and steady-state accuracy of dual Permanent Magnet Synchronous Motors’ (Dual-PMSMs). By introducing cross-coupling control as the framework, an integral sliding mode speed tracking controller based on an improved bi-power reaching method is proposed to reduce the speed error between two motors. A load torque observer is designed to bring the observed value into the Sliding Mode Control (SMC) reaching method that enhances the anti-disturbance performance of the system. Meanwhile, a synchronous controller is designed using a Fuzzy-Proportional-Integral-Derivative (FPID) control to improve the synchronization of the Dual-PMSMs. The results show that compared with the traditional PI algorithm as the target speed is 800 r/min, the proposed control method can decrease the two motors’ speed synchronization error from 25 r/min to 12 r/min under a no-load startup and reduce the speed synchronization error from 7 r/min to 2.2 r/min with sudden load torque, improving the synchronization and disturbance rejection.

     

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  • [1]
    ZHANG X Y, SHI T N, WANG ZH Q, et al. Generalized predictive contour control of the biaxial motion system[J]. IEEE Transactions on Industrial Electronics, 2018, 65(11): 8488-8497. doi: 10.1109/TIE.2018.2808899
    [2]
    JUNG J W, LEU V Q, DO T D, et al. Adaptive PID speed control design for permanent magnet synchronous motor drives[J]. IEEE Transactions on Power Electronics, 2015, 30(2): 900-908. doi: 10.1109/TPEL.2014.2311462
    [3]
    WU Y J, CHENG Y B, WANG Y L. Research on a multi-motor coordinated control strategy based on fuzzy ring network control[J]. IEEE Access, 2020, 8: 39375-39388. doi: 10.1109/ACCESS.2020.2974906
    [4]
    LU Y K. Adaptive-fuzzy control compensation design for direct adaptive fuzzy control[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(6): 3222-3231. doi: 10.1109/TFUZZ.2018.2815552
    [5]
    HU X L, SUN CH Y, ZHANG B. Design of recurrent neural networks for solving constrained least absolute deviation problems[J]. IEEE Transactions on Neural Networks, 2010, 21(7): 1073-1086. doi: 10.1109/TNN.2010.2048123
    [6]
    LIANG D L, LI J, QU R H, et al. Adaptive second-order sliding-mode observer for PMSM sensorless control considering VSI nonlinearity[J]. IEEE Transactions on Power Electronics, 2018, 33(10): 8994-9004. doi: 10.1109/TPEL.2017.2783920
    [7]
    ZENG T Y, REN X M, ZHANG Y. Fixed-time sliding mode control and high-gain nonlinearity compensation for dual-motor driving system[J]. IEEE Transactions on Industrial Informatics, 2020, 16(6): 4090-4098. doi: 10.1109/TII.2019.2950806
    [8]
    ZHANG X G, SUN L ZH, ZHAO K, et al. Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques[J]. IEEE Transactions on Power Electronics, 2013, 28(3): 1358-1365. doi: 10.1109/TPEL.2012.2206610
    [9]
    RODRIGUEZ J, KAZMIERKOWSKI M P, ESPINOZA J R, et al. State of the art of finite control set model predictive control in power electronics[J]. IEEE Transactions on Industrial Informatics, 2013, 9(2): 1003-1016. doi: 10.1109/TII.2012.2221469
    [10]
    KARAMANAKOS P, GEYER T. Guidelines for the design of finite control set model predictive controllers[J]. IEEE Transactions on Power Electronics, 2020, 35(7): 7434-7450. doi: 10.1109/TPEL.2019.2954357
    [11]
    WANG H, SHI L H, MAN ZH H, et al. Continuous fast nonsingular terminal sliding mode control of automotive electronic throttle systems using finite-time exact observer[J]. IEEE Transactions on Industrial Electronics, 2018, 65(9): 7160-7172. doi: 10.1109/TIE.2018.2795591
    [12]
    LI SH H, ZHOU M M, YU X H. Design and implementation of terminal sliding mode control method for PMSM speed regulation system[J]. IEEE Transactions on Industrial Informatics, 2013, 9(4): 1879-1891. doi: 10.1109/TII.2012.2226896
    [13]
    LI J, FANG Y T, HUANG X Y, et al. Comparison of synchronization control techniques for traction motors of high-speed trains[C]. Proceedings of the 17th International Conference on Electrical Machines and Systems, IEEE, 2014: 2l14-2119.
    [14]
    KOREN Y. Cross-coupled biaxial computer control for manufacturing systems[J]. Journal of Dynamic Systems, Measurement, and Control, 1980, 102(4): 265-272. doi: 10.1115/1.3149612
    [15]
    SHIH Y T, CHEN CH SH, LEE A CH. A novel cross-coupling control design for Bi-axis motion[J]. International Journal of Machine Tools and Manufacture, 2002, 42(14): 1539-1548. doi: 10.1016/S0890-6955(02)00109-8
    [16]
    SHI T N, LIU H, GENG Q, et al. Improved relative coupling control structure for multi-motor speed synchronous driving system[J]. IET Electric Power Applications, 2016, 10(6): 451-457. doi: 10.1049/iet-epa.2015.0515
    [17]
    LIM CH SH, LEVI E, JONES M, et al. A comparative study of synchronous current control schemes based on FCS-MPC and PI-PWM for a two-motor three-phase drive[J]. IEEE Transactions on Industrial Electronics, 2014, 61(8): 3867-3878. doi: 10.1109/TIE.2013.2286573
    [18]
    BRANDO G, PIEGARI L, SPINA I. Simplified optimum control method for monoinverter dual parallel PMSM drive[J]. IEEE Transactions on Industrial Electronics, 2018, 65(5): 3763-3771. doi: 10.1109/TIE.2017.2758751
    [19]
    XU B, SHEN X K, JI W, et al. Adaptive nonsingular terminal sliding model control for permanent magnet synchronous motor based on disturbance observer[J]. IEEE Access, 2018, 6: 48913-48920. doi: 10.1109/ACCESS.2018.2867463
    [20]
    ZHOU X L, LI X F. Trajectory tracking control for electro-optical tracking system using ESO based fractional- order sliding mode control[J]. IEEE Access, 2021, 9: 45891-45902. doi: 10.1109/ACCESS.2021.3067680
    [21]
    GAO W B, HUNG J C. Variable structure control of nonlinear systems: a new approach[J]. IEEE Transactions on Industrial Electronics, 1993, 40(1): 45-55. doi: 10.1109/41.184820
    [22]
    BHAT S P, BERNSTEIN D S. Finite-time stability of continuous autonomous systems[J]. SIAM Journal on Control and Optimization, 2000, 38(3): 751-766. doi: 10.1137/S0363012997321358
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