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Developing Induction Motor State Observers with Increased Robustness

Author

Listed:
  • Tadeusz Białoń

    (Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Marian Pasko

    (Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Roman Niestrój

    (Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

This paper presents the results of recently conducted research on Luenberger observers with non-proportional feedbacks. The observers are applied for the reconstruction of magnetic fluxes of an induction motor. Structures of the observers known from the control theory are presented. These are a proportional observer, a proportional-integral observer, a modified integral observer, and an observer with additional integrators. The practical application of some of these observers requires modifications to their structures. In the paper, the simulation results for all mentioned types of observers are presented. The simulations are performed with a Scilab-Xcos model which is attached to this paper. The problem of gains selection of the observers is discussed. Gains are selected with the described optimization method based on a genetic algorithm. A Scilab file launching the genetic algorithm also is attached to this paper.

Suggested Citation

  • Tadeusz Białoń & Marian Pasko & Roman Niestrój, 2020. "Developing Induction Motor State Observers with Increased Robustness," Energies, MDPI, vol. 13(20), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5487-:d:431784
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    References listed on IDEAS

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    1. 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.
    2. 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.
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    Cited by:

    1. 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.
    2. Paweł Ocłoń & Maciej Ławryńczuk & Marek Czamara, 2021. "A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation," Energies, MDPI, vol. 14(16), pages 1-15, August.
    3. Gianluca Brando & Adolfo Dannier & Ivan Spina, 2021. "Performance Analysis of a Full Order Sensorless Control Adaptive Observer for Doubly-Fed Induction Generator in Grid Connected Operation," Energies, MDPI, vol. 14(5), pages 1-13, February.
    4. Usha Sengamalai & T. M. Thamizh Thentral & Palanisamy Ramasamy & Mohit Bajaj & Syed Sabir Hussain Bukhari & Ehab E. Elattar & Ahmed Althobaiti & Salah Kamel, 2022. "Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application," Mathematics, MDPI, vol. 10(8), pages 1-24, April.

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