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Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive

Author

Listed:
  • Hassen Moussa

    (Laboratory of Automatic, Electrical Systems and Environment (LASEE), National Engineering School of Monastir, University of Monastir, Monastir 5019, Tunisia)

  • Saber Krim

    (Laboratory of Automatic, Electrical Systems and Environment (LASEE), National Engineering School of Monastir, University of Monastir, Monastir 5019, Tunisia)

  • Hichem Kesraoui

    (Laboratory of Automatic, Electrical Systems and Environment (LASEE), National Engineering School of Monastir, University of Monastir, Monastir 5019, Tunisia)

  • Majdi Mansouri

    (Electrical and Computer Engineering Program, Texas A&M University at Qatar, Doha 23874, Qatar)

  • Mohamed Faouzi Mimouni

    (Laboratory of Automatic, Electrical Systems and Environment (LASEE), National Engineering School of Monastir, University of Monastir, Monastir 5019, Tunisia)

Abstract

This paper proposes firstly a Second Order Sliding Mode Control (SOSMC) based on a Super Twisting Algorithm (STA) (SOSMC-STA) combined with a Direct Field-Oriented Control (DFOC) strategy of a Five-Phase Induction Motor (FPIM). The SOSMC-STA is suggested for overcoming the shortcomings of the Proportional Integral Controller (PIC) and the Conventional Sliding Mode Controller (CSMC). Indeed, the main limitations of the PIC are the slower speed response, the tuning difficulty of its parameters, and the sensitivity to changes in system parameters, including variations in process dynamics, load changes, or changes in setpoint. It is also limited to linear systems. Regarding the CSMC technique, its limitation is the chattering phenomenon, characterized by the rapid switching of the control signal. This phenomenon includes high-frequency oscillations which induce wear and tear on mechanical systems, adversely affecting performance. Secondly, this paper also proposes a Loss Model Controller (LMC) for FPIM energy optimization. Thus, the suggested LMC chooses the optimal flux magnitude required by the FPIM for each applied load torque, which consequently reduces the losses and the FPIM efficiency. The performance of the optimized DFOC-SOSMC-STA based on the LMC is verified using numerical simulation under the Matlab environment. The analysis of the simulation results shows that the DFOC-SOSMC-STA guarantees a high dynamic response, chattering reduction, good precision, and robustness in case of external load or parameter disturbances. Moreover, the DFOC-SOSMC-STA, combined with the LMC, reduces losses and increases efficiency.

Suggested Citation

  • Hassen Moussa & Saber Krim & Hichem Kesraoui & Majdi Mansouri & Mohamed Faouzi Mimouni, 2024. "Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive," Energies, MDPI, vol. 17(16), pages 1-37, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:4192-:d:1461653
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    References listed on IDEAS

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    1. Shahzad Ahmed & Hafiz Mian Muhammad Adil & Iftikhar Ahmad & Muhammad Kashif Azeem & Zil e Huma & Safdar Abbas Khan, 2020. "Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation," Energies, MDPI, vol. 13(14), pages 1-24, July.
    2. Jacek Listwan & Krzysztof Pieńkowski, 2021. "Comparative Analysis of Control Methods with Model Reference Adaptive System Estimators of a Seven-Phase Induction Motor with Encoder Failure," Energies, MDPI, vol. 14(4), pages 1-19, February.
    3. Igor Boiko, 2013. "Chattering in sliding mode control systems with boundary layer approximation of discontinuous control," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(6), pages 1126-1133.
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