Print Email Facebook Twitter Analysis and optimal individual pitch control decoupling by inclusion of an azimuth offset in the multiblade coordinate transformation Title Analysis and optimal individual pitch control decoupling by inclusion of an azimuth offset in the multiblade coordinate transformation Author Mulders, S.P. (TU Delft Team Jan-Willem van Wingerden) Pamososuryo, Atindriyo Kusumo (Student TU Delft) Disario, Gianmarco Emilio (Student TU Delft) van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden) Date 2018 Abstract With the trend of increasing wind turbine rotor diameters, the mitigation of blade fatigue loadings is of special interest to extend the turbine lifetime. Fatigue load reductions can be partly accomplished using individual pitch control (IPC) facilitated by the so-called multiblade coordinate (MBC) transformation. This operation transforms and decouples the blade load signals in a yaw-axis and tilt-axis. However, in practical scenarios, the resulting transformed system still shows coupling between the axes, posing a need for more advanced multiple input multiple output (MIMO) control architectures. This paper presents a novel analysis and design framework for decoupling of the nonrotating axes by the inclusion of an azimuth offset in the reverse MBC transformation, enabling the application of simple single-input single-output (SISO) controllers. A thorough analysis is given by including the azimuth offset in a frequency-domain representation. The result is evaluated on simplified blade models, as well as linearizations obtained from the NREL 5–MW reference wind turbine. A sensitivity and decoupling assessment justify the application of decentralized SISO control loops for IPC. Furthermore, closed-loop high-fidelity simulations show beneficial effects on pitch actuation and blade fatigue load reductions. Subject azimuth offsetcontrol designdecouplingindividual pitch controlmultiblade coordinate transformation To reference this document use: http://resolver.tudelft.nl/uuid:4275c9d7-1ece-4b02-bb3d-25ae195fe1c0 DOI https://doi.org/10.1002/we.2289 ISSN 1095-4244 Source Wind Energy, 22 (March 2019) (3), 341-359 Part of collection Institutional Repository Document type journal article Rights © 2018 S.P. Mulders, Atindriyo Kusumo Pamososuryo, Gianmarco Emilio Disario, J.W. van Wingerden Files PDF Mulders_et_al_2018_Wind_Energy.pdf 2.78 MB Close viewer /islandora/object/uuid:4275c9d7-1ece-4b02-bb3d-25ae195fe1c0/datastream/OBJ/view