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Induction Motor PI Observer with Reduced-Order Integrating Unit

Author

Listed:
  • Tadeusz Białoń

    (Faculty of Electrical Engineering, Silesian University of Technology, 2a Akademicka St., 44-100 Gliwice, Poland)

  • Roman Niestrój

    (Faculty of Electrical Engineering, Silesian University of Technology, 2a Akademicka St., 44-100 Gliwice, Poland)

  • Jarosław Michalak

    (Faculty of Electrical Engineering, Silesian University of Technology, 2a Akademicka St., 44-100 Gliwice, Poland)

  • Marian Pasko

    (Faculty of Electrical Engineering, Silesian University of Technology, 2a Akademicka St., 44-100 Gliwice, Poland)

Abstract

This article presents an innovative induction motor state observer designed to reconstruct magnetic fluxes and the angular speed of an induction motor for speed sensorless control system applications such as field-oriented control (FOC). This observer is an intermediate solution between the proportional observer and the classical proportional-integral (PI) observer with respect to which the order of the integrating unit is reduced. Additional modifications of the observer’s structure have been implemented to ensure stability and to improve its functional properties. As a result, two versions of the observer structure were produced and experimentally tested using a sensorless FOC control system. Both structures resulted in correct control system operation for a wide range of angular speeds, including low speed ranges.

Suggested Citation

  • Tadeusz Białoń & Roman Niestrój & Jarosław Michalak & Marian Pasko, 2021. "Induction Motor PI Observer with Reduced-Order Integrating Unit," Energies, MDPI, vol. 14(16), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4906-:d:612361
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    References listed on IDEAS

    as
    1. Fengxiang Wang & Zhenbin Zhang & Xuezhu Mei & José Rodríguez & Ralph Kennel, 2018. "Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control," Energies, MDPI, vol. 11(1), pages 1-13, January.
    2. Martin Kuchar & Petr Palacky & Petr Simonik & Jan Strossa, 2021. "Self-Tuning Observer for Sensor Fault-Tolerant Control of Induction Motor Drive," Energies, MDPI, vol. 14(9), pages 1-16, April.
    3. Amrane, Ahmed & Larabi, Abdelkader & Aitouche, Abdel, 2020. "Unknown input observer design for fault sensor estimation applied to induction machine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 167(C), pages 415-428.
    4. Mohamed Amine Fnaiech & Jaroslaw Guzinski & Mohamed Trabelsi & Abdellah Kouzou & Mohamed Benbouzid & Krzysztof Luksza, 2021. "MRAS-Based Switching Linear Feedback Strategy for Sensorless Speed Control of Induction Motor Drives," Energies, MDPI, vol. 14(11), pages 1-18, May.
    5. Tadeusz Białoń & Marian Pasko & Roman Niestrój, 2020. "Developing Induction Motor State Observers with Increased Robustness," Energies, MDPI, vol. 13(20), pages 1-24, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Guy Clerc, 2022. "Failure Diagnosis and Prognosis of Induction Machines," Energies, MDPI, vol. 15(4), pages 1-2, February.
    2. Adolfo Véliz-Tejo & Juan Carlos Travieso-Torres & Andrés A. Peters & Andrés Mora & Felipe Leiva-Silva, 2022. "Normalized-Model Reference System for Parameter Estimation of Induction Motors," Energies, MDPI, vol. 15(13), pages 1-29, June.
    3. Shu Xiong & Jian Pan & Yucui Yang, 2022. "Robust Decoupling Vector Control of Interior Permanent Magnet Synchronous Motor Used in Electric Vehicles with Reduced Parameter Mismatch Impacts," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    4. Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2022. "Induction Motor Field-Oriented Sensorless Control with Filter and Long Cable," Energies, MDPI, vol. 15(4), pages 1-20, February.

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