@inproceedings{cff6e26d185c42d0a9401693c9833799,
title = "Gain-Scheduled Model Predictive Control of Wind Turbines using Laguerre Functions",
abstract = "This paper presents a systematic approach to design gain-scheduled predictive controllers for wind turbines. The predictive control law is based on Laguerre functions to parameterize control signals and a parameter-dependent cost function that is analytically determined from turbine data. These properties facilitate the design of speed controllers by placement of the closed-loop poles (when constraints are not active) and systematic adaptation towards changes in the operating point. Vibration control of undamped modes is achieved by imposing a certain degree of stability to the closed-loop system. The approach can be utilized to the design of new controllers and to represent existing gain-scheduled controllers as predictive controllers. The numerical example and simulations illustrate the design of a speed controller augmented with active damping of the tower fore-aft displacement.",
author = "Adegas, {Fabiano Daher} and Rafal Wisniewski and Larsen, {Lars Finn Sloth}",
year = "2013",
doi = "10.1109/ACC.2013.6579911",
language = "English",
isbn = "978-1-4799-0177-7",
series = "American Control Conference",
publisher = "IEEE Press",
pages = "653--658",
booktitle = "American Control Conference (ACC), 2013",
note = " The 2013 American Control Conference , ACC ; Conference date: 17-06-2013 Through 19-06-2013",
}