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Dual control of exploration and exploitation for wave energy converters

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conference contribution
posted on 2024-07-23, 16:15 authored by Siyang Tang, Wen-Hua ChenWen-Hua Chen, Cunjia LiuCunjia Liu
This paper introduces an innovative auto-optimisation control framework for wave energy converters (WECs) where the concept of dual control for exploration and exploitation (DCEE) is employed to effectively address this challenge in the realm of WECs. The control problem for WECs is characterised by its dynamic and unpredictable nature, demanding strong adaptivity and robustness based on wave predictions. A sophisticated automatic control framework is proposed that transforms the inherently periodic WEC control problem into an optimal operational parameter search problem. A DCEE approach is developed to optimally search the best operational condition through trading off between exploitation and exploration. More specifically, the DCEE approach contributes to the reduction of belief uncertainty in the identification of wave parameters, which is achieved by actively exploring the operating environment. It also facilitates the tracking of optimal operational conditions for power take-off force. Simulation results validates the effectiveness of this novel framework featuring the DCEE approach.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

2024 UKACC 14th International Conference on Control (CONTROL)

Source

2024 UKACC 14th International Conference on Control (CONTROL)

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

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.

Publication date

2024-05-22

Copyright date

2024

ISBN

9798350374261; 9798350374278

ISSN

2831-5219

eISSN

2766-6522

Language

  • en

Location

Winchester, United Kingdom

Event dates

10th April 2024 - 12th April 2024

Depositor

Prof Wen-Hua Chen. Deposit date: 26 June 2024

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