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

Muhammad Saleheen Aftab; Addy Wahyudie

doi:10.1109/ICREGA.2018.8337623

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

Muhammad Saleheen Aftab, Addy Wahyudie

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	5th International Conference on Renewable Energy
Subtitle of host publication	Generation and Application, ICREGA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	128-131
Number of pages	4
Volume	2018-January
ISBN (Electronic)	9781538622513
DOIs	https://doi.org/10.1109/ICREGA.2018.8337623
Publication status	Published - Apr 12 2018
Event	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 - Al Ain, United Arab Emirates Duration: Feb 26 2018 → Feb 28 2018

Other

Other	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Country/Territory	United Arab Emirates
City	Al Ain
Period	2/26/18 → 2/28/18

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICREGA.2018.8337623

Cite this

On enhancing power conversion for heaving point absorbers with intelligent neuro-adaptive controller. / Aftab, Muhammad Saleheen; Wahyudie, Addy.
5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 128-131.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aftab, MS & Wahyudie, A 2018, On enhancing power conversion for heaving point absorbers with intelligent neuro-adaptive controller. in 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 128-131, 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018, Al Ain, United Arab Emirates, 2/26/18. https://doi.org/10.1109/ICREGA.2018.8337623

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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.",

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AB - 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.

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BT - 5th International Conference on Renewable Energy

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ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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