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Lookup NU author(s): Dr Wenxian YangORCiD
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Institution of Engineering and Technology, 2020.
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For large offshore wind turbines (WTs), pitch control is usually used for regulating generated power to the rated value and for mitigating the dynamic loads that at the wind speeds above the rated speeds. However, tracking the pitch angle accurately and quickly can hardly be realized due to complex operating environments, uncertain system parameters, various disturbances, and coupled effect between wind, wave, and turbine structure. In this paper, an individual pitch control system based on a neural adaptive strategy is proposed to address the problems related to uncertain system parameters and various disturbances. The proposed control method can achieve zero error tracking for the pitch angle in a predefined finite time. The design and stability analysis for the proposed method is elaborated. A simulation model is established in Matlab/Simulink, and by comparing it with the traditional PID control method, the merit of the proposed control scheme is verified.
Author(s): Wang L, Zhang L, Ke J, Fan Z, Chen J, Yang W
Publication type: Article
Publication status: Published
Journal: IET Renewable Power Generation
Year: 2020
Volume: 14
Issue: 17
Pages: 3500-3507
Print publication date: 14/12/2020
Online publication date: 18/12/2020
Acceptance date: 17/11/2020
Date deposited: 16/12/2020
ISSN (print): 1752-1416
ISSN (electronic): 1752-1424
Publisher: Institution of Engineering and Technology
URL: https://doi.org/10.1049/iet-rpg.2020.0616
DOI: 10.1049/iet-rpg.2020.0616
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