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Analysis and Application of the Direct Flux Control Sensorless Technique to Low-Power PMSMs

Author

Listed:
  • Emanuele Grasso

    (Lehrstuhl für Antriebstechnik, Universität des Saarlandes, 66123 Saarbrücken, Germany)

  • Marco Palmieri

    (Dipartimento di Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70126 Bari, Italy)

  • Riccardo Mandriota

    (Lehrstuhl für Antriebstechnik, Universität des Saarlandes, 66123 Saarbrücken, Germany)

  • Francesco Cupertino

    (Dipartimento di Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70126 Bari, Italy)

  • Matthias Nienhaus

    (Lehrstuhl für Antriebstechnik, Universität des Saarlandes, 66123 Saarbrücken, Germany)

  • Stephan Kleen

    (Lehrstuhl für Antriebstechnik, Universität des Saarlandes, 66123 Saarbrücken, Germany)

Abstract

In the field of sensorless control of permanent magnet synchronous motors (PMSMs), different techniques based on machine anisotropies have been studied and implemented successfully. Nevertheless, most proposed approaches extract the rotor position information from the measured machine currents, that, when applied to low-power machines, might require high-bandwidth current sensors. An interesting alternative is given by sensorless techniques that exploit the star-point voltage of PMSMs, such as the direct flux control technique. This work aims at analyzing the conditions of applicability of such technique by considering a more thorough description of the machine inductance matrix. After a comprehensive mathematical description of the technique and characterization of the machine anisotropy information that is extracted from the star-point voltage, simulation as well as experimental results conducted on a test machine are presented and discussed in order to validate the proposed theory.

Suggested Citation

  • Emanuele Grasso & Marco Palmieri & Riccardo Mandriota & Francesco Cupertino & Matthias Nienhaus & Stephan Kleen, 2020. "Analysis and Application of the Direct Flux Control Sensorless Technique to Low-Power PMSMs," Energies, MDPI, vol. 13(6), pages 1-27, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1453-:d:334866
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    References listed on IDEAS

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    1. Emanuele Grasso & Riccardo Mandriota & Niklas König & Matthias Nienhaus, 2019. "Analysis and Exploitation of the Star-Point Voltage of Synchronous Machines for Sensorless Operation," Energies, MDPI, vol. 12(24), pages 1-21, December.
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    Cited by:

    1. Suparak Srita & Sakda Somkun & Tanakorn Kaewchum & Wattanapong Rakwichian & Peter Zacharias & Uthen Kamnarn & Jutturit Thongpron & Damrong Amorndechaphon & Matheepot Phattanasak, 2022. "Modeling, Simulation and Development of Grid-Connected Voltage Source Converter with Selective Harmonic Mitigation: HiL and Experimental Validations," Energies, MDPI, vol. 15(7), pages 1-28, March.
    2. Stefano Fabbri & Klaus Schuhmacher & Matthias Nienhaus & Emanuele Grasso, 2021. "Improvement of Position Estimation of PMSMs Using an Iterative Vector Decoupling Algorithm," Energies, MDPI, vol. 14(1), pages 1-23, January.
    3. Feng Cai & Ke Li & Xiaodong Sun & Minkai Wu, 2021. "Air-Gap Flux Oriented Vector Control Based on Reduced-Order Flux Observer for EESM," Energies, MDPI, vol. 14(18), pages 1-19, September.

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