Dual Control of Exploration and Exploitation for Wave Energy Converters

Siyang Tang, Wen Hua Chen, Cunjia Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 UKACC 14th International Conference on Control, CONTROL 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-30
Number of pages6
ISBN (Electronic)9798350374261
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event14th UKACC International Conference on Control, CONTROL 2024 - Winchester, United Kingdom
Duration: 10 Apr 202412 Apr 2024

Publication series

Name2024 UKACC 14th International Conference on Control, CONTROL 2024

Conference

Conference14th UKACC International Conference on Control, CONTROL 2024
Country/TerritoryUnited Kingdom
CityWinchester
Period10/04/2412/04/24

Keywords

  • active learning
  • auto-optimisation control
  • dual control
  • wave energy converter

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Systems Engineering
  • Control and Optimization

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