Data-driven Predictive Individual Pitch Control for Floating Offshore Wind Turbines

Data-driven Predictive Individual Pitch Control for Floating Offshore Wind Turbines | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 2 September 2025 V1 Latest version Share on Data-driven Predictive Individual Pitch Control for Floating Offshore Wind Turbines Author : Xiaosuo Luo 0009-0009-7854-2241 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175680747.71315696/v1 Published EAI Endorsed Transactions on Energy Web Version of record Peer review timeline 140 views 92 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract A method of data-driven predictive individual pitch control is proposed for floating offshore wind turbine.It can reduce platform motion and asymmetric aerodynamic loads effectively. The method is designed, which includes model predictive controller with feedforward compensation, to generate the voltage control signal component required by the pitch mechanism. Firstly, the models of floating offshore wind turbines and wind turbine loads are presented. Then, a model predictive controller utilizes a data-driven methodology grounded in subspace identification for the nonlinear wind turbines. The feedforward compensation with observing past system responses and control experience reduces the external turbulence and enhances the accuracy of the control signal. The simulations indicate that the proposed strategy performs better in terms of reducing fatigue loads and improving the system's stability and reliability. Supplementary Material File (data-driven predictive individual pitch control for floating offshore wind turbines.doc) Download 948.50 KB Information & Authors Information Version history V1 Version 1 02 September 2025 Peer review timeline Published EAI Endorsed Transactions on Energy Web Version of Record 22 Apr 2026 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords data-driven predictive approach floating offshore wind turbine individual pitch control nonlinear characteristics Authors Affiliations Xiaosuo Luo 0009-0009-7854-2241 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 140 views 92 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Xiaosuo Luo. Data-driven Predictive Individual Pitch Control for Floating Offshore Wind Turbines. Authorea . 02 September 2025. DOI: https://doi.org/10.22541/au.175680747.71315696/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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