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Improvements on a Sensorless Scheme for a Surface-Mounted Permanent Magnet Synchronous Motor Using Very Low Voltage Injection

Author

Listed:
  • Jaime Pando-Acedo

    (Department of Electrical, Electronic and Automation Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • Enrique Romero-Cadaval

    (Department of Electrical, Electronic and Automation Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • Maria Isabel Milanes-Montero

    (Department of Electrical, Electronic and Automation Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • Fermin Barrero-Gonzalez

    (Department of Electrical, Electronic and Automation Engineering, University of Extremadura, 06006 Badajoz, Spain)

Abstract

Sensorless control of electrical drives is still a difficult task, especially in the lower speed region. Moreover, when the machine has a low saliency such as in the case of Surface Mounted Permanent Magnet Synchronous Motor (SMPMSM), high frequency injection techniques are even more challenging. In this paper, an enhanced demodulation algorithm for the sensorless control of a SMPMSM is proposed. The new scheme uses the high frequency injection in the Synchronous Reference Frame (SRF) and employs also the negative sequence content of the measured current for improved accuracy. This allows an improved performance with a lower amplitude of the injected signal, thus reducing the noise and additional losses in the motor. It is found that, by using both components with the algorithm developed the estimation ripple can be greatly reduced and the system can operate properly with a voltage injection of only 2.17% of the rated motor voltage, which is lower than most found in the literature, specially for low saliency machines. Simulations tests are carried out for the validation of the proposed method and experimental results in a 6.7 kW SMPMSM confirm its usefulness and correct operation with a reduced voltage injection, both in no-load and load conditions, for different low speeds, including start-up.

Suggested Citation

  • Jaime Pando-Acedo & Enrique Romero-Cadaval & Maria Isabel Milanes-Montero & Fermin Barrero-Gonzalez, 2020. "Improvements on a Sensorless Scheme for a Surface-Mounted Permanent Magnet Synchronous Motor Using Very Low Voltage Injection," Energies, MDPI, vol. 13(11), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2732-:d:364515
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    Citations

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    Cited by:

    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. Lorenzo Carbone & Simone Cosso & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2021. "State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning," Energies, MDPI, vol. 14(21), pages 1-11, November.
    3. Christian Aldrete-Maldonado & Ramon Ramirez-Villalobos & Luis N. Coria & Corina Plata-Ante, 2023. "Sensorless Scheme for Permanent-Magnet Synchronous Motors Susceptible to Time-Varying Load Torques," Mathematics, MDPI, vol. 11(14), pages 1-20, July.

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