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Variable pitch control on direct-driven PMSG for offshore wind turbine using Repetitive-TS fuzzy PID control

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  • Pan, Lin
  • Wang, Xudong

Abstract

In this paper, the control strategy of the generator side of the direct-driven permanent magnetic synchronous generator(PMSG) system is investigated for Offshore Wind Turbines(OWTs). A hybrid control method that combines a repetitive control and T-S fuzzy PID control is proposed to stabilize the output power. For the current and speed loops of a direct-driven PMSG system, Proportional-Integral(PI) control design based on internal model theory is used for the current loop and the speed loop adopts T-S fuzzy PID control scheme. Furthermore, two wind speed sequences are used to simulate and analyze the proposed system. The proposed hybrid control strategy is evaluated through numerical simulations that incorporate a realistic model of the direct-driven PMSG, which is built in MATLAB/Simulink environment.

Suggested Citation

  • Pan, Lin & Wang, Xudong, 2020. "Variable pitch control on direct-driven PMSG for offshore wind turbine using Repetitive-TS fuzzy PID control," Renewable Energy, Elsevier, vol. 159(C), pages 221-237.
    • Handle: RePEc:eee:renene:v:159:y:2020:i:c:p:221-237
    DOI: 10.1016/j.renene.2020.05.093
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    Cited by:

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    2. Palanimuthu, Kumarasamy & Joo, Young Hoon, 2023. "Reliability improvement of the large-scale wind turbines with actuator faults using a robust fault-tolerant synergetic pitch control," Renewable Energy, Elsevier, vol. 217(C).
    3. Syed Wajahat Ali & Anant Kumar Verma & Yacine Terriche & Muhammad Sadiq & Chun-Lien Su & Chung-Hong Lee & Mahmoud Elsisi, 2022. "Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems," Mathematics, MDPI, vol. 10(22), pages 1-22, November.
    4. Amira Elkodama & Amr Ismaiel & A. Abdellatif & S. Shaaban & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-32, September.
    5. Li, Tenghui & Yang, Jin & Ioannou, Anastasia, 2024. "Data-driven control of wind turbine under online power strategy via deep learning and reinforcement learning," Renewable Energy, Elsevier, vol. 234(C).
    6. Hongfu Zhang & Jiahao Wen & Farshad Golnary & Lei Zhou, 2022. "Output Power Control and Load Mitigation of a Horizontal Axis Wind Turbine with a Fully Coupled Aeroelastic Model: Novel Sliding Mode Perspective," Mathematics, MDPI, vol. 10(15), pages 1-40, August.
    7. Kumarasamy Palanimuthu & Ganesh Mayilsamy & Ameerkhan Abdul Basheer & Seong-Ryong Lee & Dongran Song & Young Hoon Joo, 2022. "A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems," Energies, MDPI, vol. 15(21), pages 1-27, November.

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