Year: 2026
Type: article
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.
DOI: 10.4108/ew.12726
Authors: Xiaosuo Luo, Sergey Gorbachev
Institution: Chongqing University of Education
Language: English
Topic: Wind Turbine Control Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Awards: G2868748138, G4353477089
OpenAlex ID: W4413909019