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Hydraulically actuated horizontal axis wind turbine pitch control by model free adaptive controller

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  • Venkaiah, P.
  • Sarkar, Bikash K.

Abstract

In the present work a model free fuzzy feedforward PID controller has been developed for pitch control application of the horizontal axis wind turbine through electrohydraulic pitch actuation system. The controller has been designed to achieve maximum power tracking and protect from high wind gusts even with fault in the actuating system. Electrohydraulic pitch actuating system has high power to weigh ratio, self-lubricating property, good controllability etc. as its merit of application. Nonlinear mathematical model of small horizontal axis wind turbine along with proportional valve controlled electrohydraulic pitch actuating system has been developed. The BEM theory has been used to estimate aerodynamic load on the turbine blade and pitch for maximum power capture by the turbine with the variation of the wind speed. The present model has been validated with experimental results. The performance of the proposed fuzzy feedforward PID controller has been investigated with various test signals as well as predicted pitch demand from wind data for maximum power tracking and to save from high wind gusts. The performance index of proposed fuzzy feedforward PID controller has been found as 0.08606, 0.08849 and 0.09809 with normal leakage, high leakage and very high leakage respectively.

Suggested Citation

  • Venkaiah, P. & Sarkar, Bikash K., 2020. "Hydraulically actuated horizontal axis wind turbine pitch control by model free adaptive controller," Renewable Energy, Elsevier, vol. 147(P1), pages 55-68.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:55-68
    DOI: 10.1016/j.renene.2019.08.127
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    References listed on IDEAS

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    1. Golnary, Farshad & Tse, K.T., 2021. "Novel sensorless fault-tolerant pitch control of a horizontal axis wind turbine with a new hybrid approach for effective wind velocity estimation," Renewable Energy, Elsevier, vol. 179(C), pages 1291-1315.
    2. 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.
    3. 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.
    4. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Dali, Ali & Abdelmalek, Samir & Bakdi, Azzeddine & Bettayeb, Maamar, 2021. "A new robust control scheme: Application for MPP tracking of a PMSG-based variable-speed wind turbine," Renewable Energy, Elsevier, vol. 172(C), pages 1021-1034.
    6. 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).
    7. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    8. Vinod, J. & Sarkar, Bikash K. & Sanyal, Dipankar, 2022. "Flow control in a small Francis turbine by system identification and fuzzy adaptation of PID and deadband controllers," Renewable Energy, Elsevier, vol. 201(P2), pages 87-99.
    9. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).

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