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Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications

Author

Listed:
  • Rajesh Poola

    (Department of Life Science and Systems Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka 808-0196, Japan)

  • Tsuyoshi Hanamoto

    (Department of Life Science and Systems Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka 808-0196, Japan)

Abstract

The gains of PI controllers, used in the cascaded speed control of synchronous reluctance motors (SynRMs), are synthesized using quantitative feedback theory (QFT). A systematic design approach is employed to quantitatively determine the PI controller gains in terms of speed and current loops, using a mathematical model of the SynRM. Further, to make the QFT design a more transparent method, an analytical procedure using the frequency domain is attempted to design the QFT bounds as well as the initial search space of the optimization algorithm used in automatic loop shaping. The effectiveness of the proposed PI tuning method is verified with the extensive MATLAB/Simulink simulation environment. The results illustrate the supremacy of the proposed PI tuning method, in terms of control performance, over the conventional PI tuning method, using the analytical procedure.

Suggested Citation

  • Rajesh Poola & Tsuyoshi Hanamoto, 2022. "Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications," Energies, MDPI, vol. 15(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:642-:d:726488
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    References listed on IDEAS

    as
    1. Yuanzhe Zhao & Linjie Ren & Zhiming Liao & Guobin Lin, 2021. "A Novel Model Predictive Direct Torque Control Method for Improving Steady-State Performance of the Synchronous Reluctance Motor," Energies, MDPI, vol. 14(8), pages 1-18, April.
    2. Victor Goman & Vladimir Prakht & Vadim Kazakbaev & Vladimir Dmitrievskii, 2021. "Comparative Study of Energy Consumption and CO 2 Emissions of Variable-Speed Electric Drives with Induction and Synchronous Reluctance Motors in Pump Units," Mathematics, MDPI, vol. 9(21), pages 1-16, October.
    3. Nezih Gokhan Ozcelik & Ugur Emre Dogru & Murat Imeryuz & Lale T. Ergene, 2019. "Synchronous Reluctance Motor vs. Induction Motor at Low-Power Industrial Applications: Design and Comparison," Energies, MDPI, vol. 12(11), pages 1-20, June.
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