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A Wide-Adjustable Sensorless IPMSM Speed Drive Based on Current Deviation Detection under Space-Vector Modulation

Author

Listed:
  • Muhammad Syahril Mubarok

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan)

  • Tian-Hua Liu

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan)

  • Chung-Yuan Tsai

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan)

  • Zuo-Ying Wei

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan)

Abstract

This paper investigates the implementation of a wide-adjustable sensorless interior permanent magnet synchronous motor drive based on current deviation detection under space-vector modulation. A hybrid method that includes a zero voltage vector current deviation and an active voltage vector current deviation under space-vector pulse-width modulation is proposed to determine the rotor position. In addition, the linear transition algorithm between the two current deviation methods is investigated to obtain smooth speed responses at various operational ranges, including at a standstill and at different operating speeds, from 0 to 3000 rpm. A predictive speed-loop controller is proposed to improve the transient, load disturbance, and tracking responses for the sensorless interior permanent magnet synchronous motor (IPMSM) drive system. The computations of the position estimator and control algorithms are implemented by using a digital signal processor (DSP), TMS-320F-2808. Several experimental results are provided to validate the theoretical analysis.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4431-:d:405051
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    Citations

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    Cited by:

    1. 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.
    2. Tian-Hua Liu, 2021. "Design and Control of Electrical Motor Drives," Energies, MDPI, vol. 14(22), pages 1-3, November.
    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.

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