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Design of an Individual Pitch Controller for Offshore Wind Turbines Based on Neuro-adaptive Control

Lookup NU author(s): Dr Wenxian Yang

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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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Abstract

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.


Publication metadata

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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