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• W4384201849 abstract "Wind turbines are subjected to asymmetric loads and fatigue with subsequent increases in their dimension and capacity, leading to a reduction in their lifetime. To address this problem, the individual pitch control (IPC) technique is quite familiar in the control of wind turbines. IPC is used to reduce the tilt and yaw moments, simultaneously alleviating the turbine blade-root bending moments (BRBMs). This study discusses the performance of model predictive control (MPC), H-infinity (H∞), and proportional and integral (PI)-based IPC strategies integrated with collective pitch control. The performance of the reported controllers has been validated using the National Renewable Energy Laboratory (NREL) 5 MW full nonlinear reference wind turbine. Simulation studies are conducted at varying wind speeds and turbulent intensities as per international electrotechnical commission (IEC) norms. Comparative results in the time and frequency domains indicate that the H∞ based IPC achieves enhanced control performance in terms of reduction in BRBMs and damage equivalent load compared to MPC and PI-based control strategies." @default.
• W4384201849 created "2023-07-14" @default.
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• W4384201849 date "2023-07-12" @default.
• W4384201849 modified "2023-10-14" @default.
• W4384201849 title "A Comparative Study of Optimal Individual Pitch Control Methods" @default.
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• W4384201849 doi "https://doi.org/10.3390/su151410933" @default.
• W4384201849 hasPublicationYear "2023" @default.
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