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A Robust Nonlinear Controller for PMSG Wind Turbines

Author

Listed:
  • Nicholas Hawkins

    (Engineering Fundamentals, University of Louisville, Louisville, KY 40292, USA)

  • Michael L. McIntyre

    (Electrical and Computer Engineering, University of Louisville, Louisville, KY 40292, USA)

Abstract

In this paper, a nonlinear backstepping controller is proposed to manage the performance of a full-variable permanent magnet synchronous generator wind turbine. This nonlinear controller achieves a rotational speed objective for the generator and is validated through Lyapunov-based stability analysis. Additionally, this objective is accomplished without a measurement for wind speed that influences the wind torque. The proposed scheme is compared to a typical linear controller through simulation results. Simulation tests are performed to compare the response time and average error of each controller in both a drastic and realistic dynamic wind environment. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes. The simulation results of this study indicate a 1000% increase in response time and 3000% decrease in average controller error.

Suggested Citation

  • Nicholas Hawkins & Michael L. McIntyre, 2021. "A Robust Nonlinear Controller for PMSG Wind Turbines," Energies, MDPI, vol. 14(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:954-:d:497759
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    References listed on IDEAS

    as
    1. Sung-Won Lee & Kwan-Ho Chun, 2019. "Adaptive Sliding Mode Control for PMSG Wind Turbine Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    2. 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.
    3. Youjie Ma & Long Tao & Xuesong Zhou & Wei Li & Xueqi Shi, 2019. "Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer," Energies, MDPI, vol. 12(15), pages 1-19, July.
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    Cited by:

    1. Hemant Ahuja & Arika Singh & Sachin Sharma & Gulshan Sharma & Pitshou N. Bokoro, 2022. "Coordinated Control of Wind Energy Conversion System during Unsymmetrical Fault at Grid," Energies, MDPI, vol. 15(13), pages 1-15, July.

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