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 |
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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 | |
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 |
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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