On enhancing power conversion for heaving point absorbers with intelligent neuro-adaptive controller

Muhammad Saleheen Aftab, Addy Wahyudie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper discusses a new method for enhanced power conversion with heaving point absorbers. The proposed scheme incorporates an intelligent neuro-adaptive controller for efficient heave velocity tracking. A novel algorithm is presented to generate the reference velocity signal by introducing a power loss control factor. It is observed through computer simulations that by increasing this factor improves the captured wave energy, which in turn enhances the converted electrical power. Overall, superior performance is achieved by the proposed methodology as opposed to the traditional passive control technique.

Original languageEnglish
Title of host publication5th International Conference on Renewable Energy
Subtitle of host publicationGeneration and Application, ICREGA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-131
Number of pages4
ISBN (Electronic)9781538622513
DOIs
Publication statusPublished - Apr 12 2018
Event5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 - Al Ain, United Arab Emirates
Duration: Feb 26 2018Feb 28 2018

Publication series

Name5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Volume2018-January

Other

Other5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period2/26/182/28/18

Keywords

  • artificial neural network
  • heaving point absorber
  • radiation resistance
  • wave energy converter

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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