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Model-free semi-active structural control of floating wind turbines
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Dong, Hongyang, Edrah, Mohamed, Zhao, Xiaowei, Collu, Maurizio, Xu, Xue, Abhinav, K A and Lin, Zi (2020) Model-free semi-active structural control of floating wind turbines. In: 2020 Chinese Automation Congress (CAC), Shanghai, China, 6-8 Nov 2020 ISBN 9781728176871. doi:10.1109/CAC51589.2020.9327083 ISSN 2688-0938.
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WRAP-model-free-semi-active-structural-control-floating-wind-turbines-Dong-2020.pdf - Accepted Version - Requires a PDF viewer. Download (970Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/CAC51589.2020.9327083
Abstract
This paper addresses the load/vibration reduction problem of offshore floating wind turbines (FWTs). Based on the tuned mass damper (TMD), a novel semi-active control method is designed to mitigate the floating platform’s structural vibration. Different from existing results, the proposed control method is model-free and insensitive to system uncertainties and unmodelled dynamics. We base our design on the model-free adaptive control (MFAC) method. A data-based surrogate model is developed to approximate the unknown FWT dynamical system through the dynamic linearization technique. In addition, a quadratic programming (QP) module is embedded in our MFAC-based semi-active structural controller for constraint handling and control allocation purposes. High-fidelity simulations of FWTs show that our model-free semi-active structural controller can address the limitations of existing results and significantly reduce the platform’s vibration.
Item Type: | Conference Item (Paper) | ||||||||||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TH Building construction T Technology > TJ Mechanical engineering and machinery |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||
Library of Congress Subject Headings (LCSH): | Structural control (Engineering), Wind turbines, Tuned mass dampers, Structural dynamics | ||||||||||||
Publisher: | IEEE | ||||||||||||
ISBN: | 9781728176871 | ||||||||||||
ISSN: | 2688-0938 | ||||||||||||
Official Date: | 8 October 2020 | ||||||||||||
Dates: |
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DOI: | 10.1109/CAC51589.2020.9327083 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Reuse Statement (publisher, data, author rights): | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||
Date of first compliant deposit: | 13 April 2021 | ||||||||||||
Date of first compliant Open Access: | 14 April 2021 | ||||||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||||||||
Title of Event: | 2020 Chinese Automation Congress (CAC) | ||||||||||||
Type of Event: | Conference | ||||||||||||
Location of Event: | Shanghai, China | ||||||||||||
Date(s) of Event: | 6-8 Nov 2020 |
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