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Pitch control of small H-type Darrieus vertical axis wind turbines using advanced gain scheduling techniques

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  • Bundi, Josephat Machoka
  • Ban, Xiaojun
  • Wekesa, David Wafula
  • Ding, Shuchen

Abstract

During sudden wind speed changes, the response time of the wind turbine rotor is essential so that optimum operating condition always governs. As a result, wind turbine rotors especially the blades are the most delicate parts in a fluctuating wind condition posing a challenge for their effective operation. This paper focuses on gain scheduling pitch and MPPT control for a small H-type Darrieus vertical axis wind turbine (VAWT) with respect to the power output. A gain scheduled controller is designed by solving Linear matrix inequalities (LMIs) and used for stability control of the Darrieus VAWT rotor in an urban wind condition. A NACA 0018 airfoil is used to demonstrate the wind speed variations and nonlinear aerodynamic rotor behavior. The Stochastic Differential Equations (SDEs) as a function of a random number are imposed in Simulink using MATLAB R2018b. The proposed gain scheduled controller is found to be stable and achieves better performance under a gusty and turbulent wind condition compared to conventional controllers. The simulations are consistent to published experimental and numerical findings such that the system behaves as closely as possible to the real H-Darrieus turbine.

Suggested Citation

  • Bundi, Josephat Machoka & Ban, Xiaojun & Wekesa, David Wafula & Ding, Shuchen, 2020. "Pitch control of small H-type Darrieus vertical axis wind turbines using advanced gain scheduling techniques," Renewable Energy, Elsevier, vol. 161(C), pages 756-765.
  • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:756-765
    DOI: 10.1016/j.renene.2020.05.184
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    References listed on IDEAS

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    Cited by:

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    5. José Genaro González-Hernández & Rubén Salas-Cabrera, 2021. "Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG," Mathematics, MDPI, vol. 9(17), pages 1-19, August.
    6. Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    7. Ardaneh, Fatemeh & Abdolahifar, Abolfazl & Karimian, S.M.H., 2022. "Numerical analysis of the pitch angle effect on the performance improvement and flow characteristics of the 3-PB Darrieus vertical axis wind turbine," Energy, Elsevier, vol. 239(PD).

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