Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network
Joint Authors
Zuo, Shan
Zhou, Zheng
Wang, Lei
Song, Yongduan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Offshore floating wind turbine (OFWT) has been a challenging research spot because of the high-quality wind power and complex load environment.
This paper focuses on the research of variable torque control of offshore wind turbine on Spar floating platform.
The control objective in below-rated wind speed region is to optimize the output power by tracking the optimal tip-speed ratio and ideal power curve.
Aiming at the external disturbances and nonlinear uncertain dynamic systems of OFWT because of the proximity to load centers and strong wave coupling, this paper proposes an advanced radial basis function (RBF) neural network approach for torque control of OFWT system at speeds lower than rated wind speed.
The robust RBF neural network weight adaptive rules are acquired based on the Lyapunov stability analysis.
The proposed control approach is tested and compared with the NREL baseline controller using the “NREL offshore 5 MW wind turbine” model mounted on a Spar floating platform run on FAST and Matlab/Simulink, operating in the below-rated wind speed condition.
The simulation results show a better performance in tracking the optimal output power curve, therefore, completing the maximum wind energy utilization.
American Psychological Association (APA)
Wang, Lei& Zuo, Shan& Song, Yongduan& Zhou, Zheng. 2014. Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034080
Modern Language Association (MLA)
Wang, Lei…[et al.]. Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1034080
American Medical Association (AMA)
Wang, Lei& Zuo, Shan& Song, Yongduan& Zhou, Zheng. Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034080