Lara, Manuel Vázquez, Francisco Van Wingerden, Jan Willem Mulders, Sebastian Paul Garrido, Juan 2026-02-23T18:09:19Z 2026-02-23T18:09:19Z 2024 978-3-9071-4410-7 http://hdl.handle.net/10396/35384 Embargado hasta 24/07/2026 In order to mitigate periodic blade loads in wind turbines, recent research has analyzed different Individual Pitch Control (IPC) approaches, which typically use the multi-blade coordinate (MBC) transformation. Some of these studies show that the introduction of an additional tuning parameter in the MBC, namely the azimuth offset, helps to decouple the nonrotating axes in the MBC transformation and enhances the IPC performance. However, these improvements have been studied without considering the increased control effort performed by the pitch signal, which is the main negative side effect of the IPC. This work addresses this trade-off between pitch signal effort and blade fatigue reduction for IPC applied to a wind turbine operating in the full load region. Here, two IPC schemes, with and without additional azimuth offset, are designed and applied to a 15 MW monopile offshore wind turbine simulated with OpenFAST software. The optimal tuning of the IPC parameters is performed by means of a multi-objective optimization solved by genetic algorithms. The optimization procedure minimizes two objective functions related to pitch signal effort and blade fatigue load. The resulting Pareto fronts show a range of optimal solutions for each IPC scheme. The selected optimal solution for IPC with azimuth offset compared to the optimal solution for IPC without offset achieves improvements of more than 10% in blade load reduction maintaining similar pitch signal effort. application/pdf eng IEEE https://creativecommons.org/licenses/by-nc-nd/4.0/ M. Lara, F. Vázquez, J. -W. van Wingerden, S. P. Mulders and J. Garrido, "Multi-Objective Optimization of Individual Pitch Control for Blade Fatigue Load Reductions for a 15 MW Wind Turbine," 2024 European Control Conference (ECC), Stockholm, Sweden, 2024, pp. 669-674, doi: 10.23919/ECC64448.2024.10590830. Azimuth Blades Simulation Fatigue Linear programming Software Wind turbines Multi-Objective Optimization of Individual Pitch Control for Blade Fatigue Load Reductions for a 15 MW Wind Turbine info:eu-repo/semantics/conferenceObject http://dx.doi.org/10.23919/ECC64448.2024.10590830 info:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/PID2020-117063RB-I00/ES/ info:eu-repo/semantics/embargoedAccess info:eu-repo/date/embargoEnd/2026-07-24