Sarbandi, Moein (Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, ), Mohammadi Shahir, Mohammad (Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, ), HAMIDA, Mohamed Assaad (Ecole Centrale de Nantes, IRCCyN), Plestan, Franck (Ecole Centrale De Nantes-CNRS)

Robust Control for Floating Wind Turbines Using Adaptive Super-Twisting Algorithm in Region III

Scheduled for presentation during the Regular Session "Adaptive control" (WeAA), Wednesday, June 11, 2025, 10:30−10:50, Auditorium

33rd Mediterranean Conference on Control and Automation, June 10-13, 2025, Tangier, Morocco

This information is tentative and subject to change. Compiled on May 9, 2025

Abstract

This study presents a robust adaptive control strategy utilising the super-twisting sliding mode algorithm for control of floating offshore wind turbines (FWOTs) operating in above-rated wind speeds. Due to their nonlinear nature and the presence of uncertainties and unmodelled dynamics, FWOTs require advanced control techniques to ensure stable operation. The primary objectives are to regulate power output and reduce fatigue loads on the system through a collective blade pitch controller. The proposed controller effectively addresses the aforementioned challenges without requiring prior knowledge of system uncertainties and their bounds, and thanks to the adaptation law, it does not overestimate the control gain. The performance of the robust adaptive controller is evaluated using the OpenFAST simulator. The simulation results demonstrate the efficiency of the proposed controller by comparing it with the reference open-source controller (ROSCO), which is renowned for its reliable performance.