Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers

Muhammad Saleheen Aftab; Addy Wahyudie

doi:10.1109/ICREGA.2018.8337605

Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers

Muhammad Saleheen Aftab, Addy Wahyudie

Department of Electrical and Communication Engineering

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

1 Citation (Scopus)

Abstract

This paper presents a computation-friendly control approach to improve extracted power from sea waves with heaving wave energy converter. A Lyponov function based neuro-adaptive inverse controller is proposed for velocity tracking of the heaving buoy under resonance condition for maximum power transfer. The reference velocity is generated offline by optimizing the absorbed energy with constraints on buoy's excursion. Analysis of simulation study validates a superior velocity tracking along with enhanced power capture from the proposed scheme as compared to passive loading technique in irregular sea conditions.

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	124-127
Number of pages	4
Volume	2018-January
ISBN (Electronic)	9781538622513
DOIs	https://doi.org/10.1109/ICREGA.2018.8337605
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
Lyaponuv stability theory
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.2018.8337605

Cite this

Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers. / 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. 124-127.

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

Aftab, MS & Wahyudie, A 2018, Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers. in 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 124-127, 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.2018.8337605

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title = "Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers",

abstract = "This paper presents a computation-friendly control approach to improve extracted power from sea waves with heaving wave energy converter. A Lyponov function based neuro-adaptive inverse controller is proposed for velocity tracking of the heaving buoy under resonance condition for maximum power transfer. The reference velocity is generated offline by optimizing the absorbed energy with constraints on buoy's excursion. Analysis of simulation study validates a superior velocity tracking along with enhanced power capture from the proposed scheme as compared to passive loading technique in irregular sea conditions.",

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AB - This paper presents a computation-friendly control approach to improve extracted power from sea waves with heaving wave energy converter. A Lyponov function based neuro-adaptive inverse controller is proposed for velocity tracking of the heaving buoy under resonance condition for maximum power transfer. The reference velocity is generated offline by optimizing the absorbed energy with constraints on buoy's excursion. Analysis of simulation study validates a superior velocity tracking along with enhanced power capture from the proposed scheme as compared to passive loading technique in irregular sea conditions.

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KW - heaving point absorber

KW - Lyaponuv stability theory

KW - wave energy converter

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BT - 5th International Conference on Renewable Energy

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T2 - 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018

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ER -

Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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