IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1225-d218359.html
   My bibliography  Save this article

Sensorless Control for IPMSM Based on Adaptive Super-Twisting Sliding-Mode Observer and Improved Phase-Locked Loop

Author

Listed:
  • Shuo Chen

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiao Zhang

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiang Wu

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Guojun Tan

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xianchao Chen

    (Xuzhou Yirui Construction Machinery Co. Ltd., Xuzhou 221000, China)

Abstract

In traditional sensorless control of the interior permanent magnet synchronous motors (IPMSMs) for medium and high speed domains, a control strategy based on a sliding-mode observer (SMO) and phase-locked loop (PLL) is widely applied. A new strategy for IPMSM sensorless control based on an adaptive super-twisting sliding-mode observer and improved phase-locked loop is proposed in this paper. A super-twisting sliding-mode observer (STO) can eliminate the chattering problem without low-pass filters (LPFs), which is an effective method to obtain the estimated back electromotive forces (EMFs). However, the constant sliding-mode gains in STO may cause instability in the high speed domain and chattering in the low speed domain. The speed-related adaptive gains are proposed to achieve the accurate estimation of the observer in wide speed range and the corresponding stability is proved. When the speed of IPMSM is reversed, the traditional PLL will lose its accuracy, resulting in a position estimation error of 180°. The improved PLL based on a simple strategy for signal reconstruction of back EMF is proposed to ensure that the motor can realize the direction switching of speed stably. The proposed strategy is verified by experimental testing with a 60-kW IPMSM sensorless drive.

Suggested Citation

  • Shuo Chen & Xiao Zhang & Xiang Wu & Guojun Tan & Xianchao Chen, 2019. "Sensorless Control for IPMSM Based on Adaptive Super-Twisting Sliding-Mode Observer and Improved Phase-Locked Loop," Energies, MDPI, vol. 12(7), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1225-:d:218359
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1225/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/7/1225/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lisi Tian & Jin Zhao & Jiajiang Sun, 2016. "Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter," Energies, MDPI, vol. 9(12), pages 1-18, December.
    2. Ming-Shyan Wang & Tse-Ming Tsai, 2017. "Sliding Mode and Neural Network Control of Sensorless PMSM Controlled System for Power Consumption and Performance Improvement," Energies, MDPI, vol. 10(11), pages 1-15, November.
    3. Yuanlin Wang & Xiaocan Wang & Wei Xie & Manfeng Dou, 2018. "Full-Speed Range Encoderless Control for Salient-Pole PMSM with a Novel Full-Order SMO," Energies, MDPI, vol. 11(9), pages 1-14, September.
    4. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    5. Kyoung Jin Joo & Joon Sung Park & Ju Lee, 2018. "Study on Reduced Cost of Non-Salient Machine System Using MTPA Angle Pre-Compensation Method Based on EEMF Sensorless Control," Energies, MDPI, vol. 11(6), pages 1-14, June.
    6. Tae-Uk Jung & Jung-Hoon Jang & Chang-Seok Park, 2017. "A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 10(8), pages 1-16, August.
    7. Younghoon Cho, 2016. "Improved Sensorless Control of Interior Permanent Magnet Sensorless Motors Using an Active Damping Control Strategy," Energies, MDPI, vol. 9(3), pages 1-15, February.
    8. Joon B. Park & Xin Wang, 2018. "Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering," Energies, MDPI, vol. 11(4), pages 1-19, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Junlei Chen & Shuo Chen & Xiang Wu & Guojun Tan & Jianqi Hao, 2019. "A Super-Twisting Sliding-Mode Stator Flux Observer for Sensorless Direct Torque and Flux Control of IPMSM," Energies, MDPI, vol. 12(13), pages 1-17, July.
    2. Michał Gwóźdź & Łukasz Ciepliński, 2021. "An Algorithm for Calculation and Extraction of the Grid Voltage Component," Energies, MDPI, vol. 14(16), pages 1-12, August.
    3. Jongwon Choi, 2021. "Regression Model-Based Flux Observer for IPMSM Sensorless Control with Wide Speed Range," Energies, MDPI, vol. 14(19), pages 1-18, October.
    4. Yujiao Zhao & Haisheng Yu & Shixian Wang, 2021. "An Improved Super-Twisting High-Order Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 14(19), pages 1-18, September.
    5. Habib Benbouhenni & Nicu Bizon, 2021. "Third-Order Sliding Mode Applied to the Direct Field-Oriented Control of the Asynchronous Generator for Variable-Speed Contra-Rotating Wind Turbine Generation Systems," Energies, MDPI, vol. 14(18), pages 1-20, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jongwon Choi & Kwanghee Nam, 2018. "Wound Synchronous Machine Sensorless Control Based on Signal Injection into the Rotor Winding," Energies, MDPI, vol. 11(12), pages 1-20, November.
    2. Guan-Ren Chen & Shih-Chin Yang & Yu-Liang Hsu & Kang Li, 2017. "Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop," Energies, MDPI, vol. 10(10), pages 1-17, October.
    3. Alessandro Benevieri & Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2022. "Surface Permanent Magnet Synchronous Motors’ Passive Sensorless Control: A Review," Energies, MDPI, vol. 15(20), pages 1-26, October.
    4. Nikola Lopac & Neven Bulic & Niksa Vrkic, 2019. "Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators," Energies, MDPI, vol. 12(9), pages 1-22, April.
    5. Qi Wang & Haitao Yu & Min Wang & Xinbo Qi, 2018. "A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control," Energies, MDPI, vol. 11(9), pages 1-21, September.
    6. Jyun-You Chen & Shih-Chin Yang & Kai-Hsiang Tu, 2018. "Comparative Evaluation of a Permanent Magnet Machine Saliency-Based Drive with Sine-Wave and Square-Wave Voltage Injection," Energies, MDPI, vol. 11(9), pages 1-15, August.
    7. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    8. Baochao Wang & Yangrui Wang & Liguo Feng & Shanlin Jiang & Qian Wang & Jianhui Hu, 2019. "Permanent-Magnet Synchronous Motor Sensorless Control Using Proportional-Integral Linear Observer with Virtual Variables: A Comparative Study with a Sliding Mode Observer," Energies, MDPI, vol. 12(5), pages 1-12, March.
    9. Tao Liu & Qiaoling Tong & Qiao Zhang & Qidong Li & Linkai Li & Zhaoxuan Wu, 2018. "A Method to Improve the Response of a Speed Loop by Using a Reduced-Order Extended Kalman Filter," Energies, MDPI, vol. 11(11), pages 1-16, October.
    10. Yan Xu & Tingna Shi & Yan Yan & Xin Gu, 2019. "Dual-Vector Predictive Torque Control of Permanent Magnet Synchronous Motors Based on a Candidate Vector Table," Energies, MDPI, vol. 12(1), pages 1-15, January.
    11. Huynh Le Minh Thien & Nguyen Xuan Tien & Tran Thanh Vu & Ho Van Cuu, 2019. "Improved The Adaptation For Three Phase Active Filter Under Non-IdealLoad Using Sample Current Control," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(3), pages 76-80, April.
    12. Xiaofei Zhang & Hongbin Ma, 2019. "Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine," Energies, MDPI, vol. 12(17), pages 1-17, August.
    13. Anton Dianov & Alecksey Anuchin, 2021. "Design of Constraints for Seeking Maximum Torque per Ampere Techniques in an Interior Permanent Magnet Synchronous Motor Control," Mathematics, MDPI, vol. 9(21), pages 1-21, November.
    14. Bowei Zou & Yougui Guo & Xi Xiao & Bowen Yang & Xiao Wang & Mingzhang Shi & Yulin Tu, 2020. "Performance Improvement of Matrix Converter Direct Torque Control System," Energies, MDPI, vol. 13(12), pages 1-17, June.
    15. Peng Gao & Guangming Zhang & Xiaodong Lv, 2021. "Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives," Energies, MDPI, vol. 14(4), pages 1-15, February.
    16. Wei Chen & Jiaojiao Liang & Tingna Shi, 2018. "Speed Synchronous Control of Multiple Permanent Magnet Synchronous Motors Based on an Improved Cross-Coupling Structure," Energies, MDPI, vol. 11(2), pages 1-16, January.
    17. Karol Kyslan & Viktor Petro & Peter Bober & Viktor Šlapák & František Ďurovský & Mateusz Dybkowski & Matúš Hric, 2022. "A Comparative Study and Optimization of Switching Functions for Sliding-Mode Observer in Sensorless Control of PMSM," Energies, MDPI, vol. 15(7), pages 1-17, April.
    18. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.
    19. Omer Cihan Kivanc & Salih Baris Ozturk, 2019. "Low-Cost Position Sensorless Speed Control of PMSM Drive Using Four-Switch Inverter," Energies, MDPI, vol. 12(4), pages 1-24, February.
    20. Anton Dianov & Alecksey Anuchin, 2020. "Adaptive Maximum Torque per Ampere Control of Sensorless Permanent Magnet Motor Drives," Energies, MDPI, vol. 13(19), pages 1-13, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1225-:d:218359. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.