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Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems

Author

Listed:
  • Yuan-Chih Chang

    (Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 62102, Taiwan)

  • Chi-Ting Tsai

    (Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 62102, Taiwan)

  • Yong-Lin Lu

    (Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 62102, Taiwan)

Abstract

The current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determined by the current control approach. IT2 T-S fuzzy systems are implemented to deal with the nonlinearity of a PMSG system in this paper. First, the IT2 T-S fuzzy model of a PMSG is obtained. Second, the IT2 T-S fuzzy controller is designed based on the concept of parallel distributed compensation (PDC). Next, the stability analysis can be conducted through the Lyapunov theorem. Accordingly, the stability conditions of the closed-loop system are expressed in Linear Matrix Inequality (LMI) form. The AC power from a PMSG is converted to DC power via a three-phase six-switch full bridge converter. The six-switch full bridge converter is controlled by the proposed IT2 T-S fuzzy controller. The analog-to-digital (ADC) conversion, rotor position calculation and duty ratio determination are digitally accomplished by the microcontroller. Finally, simulation and experimental results verify the performance of the proposed current control.

Suggested Citation

  • Yuan-Chih Chang & Chi-Ting Tsai & Yong-Lin Lu, 2019. "Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems," Energies, MDPI, vol. 12(15), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2953-:d:253574
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    References listed on IDEAS

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    1. Yuan-Chih Chang & Hao-Chin Chang & Chien-Yu Huang, 2018. "Design and Implementation of the Permanent- Magnet Synchronous Generator Drive in Wind Generation Systems," Energies, MDPI, vol. 11(7), pages 1-10, June.
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    Cited by:

    1. Marcel Nicola & Claudiu-Ionel Nicola & Dan Selișteanu, 2022. "Improvement of PMSM Sensorless Control Based on Synergetic and Sliding Mode Controllers Using a Reinforcement Learning Deep Deterministic Policy Gradient Agent," Energies, MDPI, vol. 15(6), pages 1-30, March.
    2. Teen-Hang Meen & Wenbing Zhao & Cheng-Fu Yang, 2020. "Special Issue on Selected Papers from IEEE ICKII 2019," Energies, MDPI, vol. 13(8), pages 1-5, April.
    3. Nicholas Hawkins & Michael L. McIntyre, 2021. "A Robust Nonlinear Controller for PMSG Wind Turbines," Energies, MDPI, vol. 14(4), pages 1-17, February.

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