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Surface Permanent Magnet Synchronous Motors’ Passive Sensorless Control: A Review

Author

Listed:
  • Alessandro Benevieri

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

  • Lorenzo Carbone

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

  • Simone Cosso

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

  • Krishneel Kumar

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

  • Mario Marchesoni

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

  • Massimiliano Passalacqua

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

  • Luis Vaccaro

    (Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy)

Abstract

Sensorless control of permanent magnet synchronous motors is nowadays used in many industrial, home and traction applications, as it allows the presence of a position sensor to be avoided with benefits for the cost and reliability of the drive. An estimation of the rotor position is required to perform the field-oriented control (FOC), which is the most common control scheme used for this type of motor. Many algorithms have been developed for this purpose, which use different techniques to derive the rotor angle from the stator voltages and currents. Among them, the so-called passive methods have gained increasing interest as they do not introduce additional losses and current distortion associated instead with algorithms based on the injection of high-frequency signals. The aim of this paper is to present a review of the main passive sensorless methods proposed in the technical literature over the last few years, analyzing their main features and principles of operation. An experimental comparison among the most promising passive sensorless algorithms is then reported, focusing on their performance in the low-speed operating region.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7747-:d:947598
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    References listed on IDEAS

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    1. Konrad Urbanski & Dariusz Janiszewski, 2021. "Position Estimation at Zero Speed for PMSMs Using Artificial Neural Networks," Energies, MDPI, vol. 14(23), pages 1-17, December.
    2. Justas Dilys & Voitech Stankevič & Krzysztof Łuksza, 2021. "Implementation of Extended Kalman Filter with Optimized Execution Time for Sensorless Control of a PMSM Using ARM Cortex-M3 Microcontroller," Energies, MDPI, vol. 14(12), pages 1-16, June.
    3. 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.
    4. Mohammadreza Moradian & Jafar Soltani & Mohamed Benbouzid & Abbas Najjar-Khodabakhsh, 2021. "A Parameter Independent Stator Current Space-Vector Reference Frame-Based Sensorless IPMSM Drive Using Sliding Mode Control," Energies, MDPI, vol. 14(9), pages 1-13, April.
    5. Muhammad Syahril Mubarok & Tian-Hua Liu & Chung-Yuan Tsai & Zuo-Ying Wei, 2020. "A Wide-Adjustable Sensorless IPMSM Speed Drive Based on Current Deviation Detection under Space-Vector Modulation," Energies, MDPI, vol. 13(17), pages 1-23, August.
    6. Piyush Kumar & Omar Bottesi & Sandro Calligaro & Luigi Alberti & Roberto Petrella, 2019. "Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives," Energies, MDPI, vol. 12(19), pages 1-26, September.
    7. Feng Jiang & Fan Yang & Songjun Sun & Kai Yang, 2022. "Static-Errorless Rotor Position Estimation Method Based on Linear Extended State Observer for IPMSM Sensorless Drives," Energies, MDPI, vol. 15(5), pages 1-20, March.
    8. Ke Yu & Zuo Wang & Ling Li, 2022. "An Optimized Time Sequence for Sensorless Control of IPMSM Drives via High-Frequency Square-Wave Signal Injection Scheme," Energies, MDPI, vol. 15(6), pages 1-15, March.
    9. 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.
    10. 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.
    11. Lei Guo & Zhongping Yang & Fei Lin, 2020. "A Novel Strategy for Sensorless Control of IPMSM with Error Compensation Based on Rotating High Frequency Carrier Signal Injection," Energies, MDPI, vol. 13(8), pages 1-16, April.
    12. 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.
    13. Yubo Liu & Junlong Fang & Kezhu Tan & Boyan Huang & Wenshuai He, 2020. "Sliding Mode Observer with Adaptive Parameter Estimation for Sensorless Control of IPMSM," Energies, MDPI, vol. 13(22), pages 1-18, November.
    14. Zih-Cing You & Sheng-Ming Yang, 2019. "A Restarting Strategy for Back-EMF-Based Sensorless Permanent Magnet Synchronous Machine Drive," Energies, MDPI, vol. 12(9), pages 1-16, May.
    15. 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.
    16. 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.
    17. Quan Yin & Haichun Li & Hui Luo & Qingyi Wang & Chendong Xu, 2020. "An Improved Sensorless Vector Control Method for IPMSM Drive with Small DC-Link Capacitors," Energies, MDPI, vol. 13(3), pages 1-26, January.
    18. István Szalay & Dénes Fodor & Krisztián Enisz & Hunor Medve, 2022. "Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection," Energies, MDPI, vol. 15(3), pages 1-24, February.
    19. 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.
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    Cited by:

    1. Hyo Chan Lee & Hyeoncheol Lee & Jae Kwang Lee & Hyun Duck Choi & Kyunghwan Choi & Yonghun Kim & Seok-Kyoon Kim, 2022. "Output-Feedback Multi-Loop Positioning Technique via Dual Motor Synchronization Approach for Elevator System Applications," Energies, MDPI, vol. 15(23), pages 1-20, December.
    2. Yoon-Seong Lee & Kyoung-Min Choo & Won-Sang Jeong & Chang-Hee Lee & Junsin Yi & Chung-Yuen Won, 2023. "A Virtual Impedance-Based Flying Start Considering Transient Characteristics for Permanent Magnet Synchronous Machine Drive Systems," Energies, MDPI, vol. 16(3), pages 1-17, January.

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