A novel control method to maximize the energy-harvesting capability of an adjustable slope angle wave energy converter
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- 作者：Nguyen Minh Tria ; Dinh Quang Truongb ; Do Hoang Thinha ; Phan Cong Binhb ; Dang Tri Dunga ; Seyoung Leea ; Hyung Gyu Parkb ; Kyoung Kwan Ahnb ; kkahn@ulsan.ac.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wave energy converter ; ASAWEC ; Oil-hydraulic power take-off ; Learning vector quantitative neural network ; Control systems
- 刊名：Renewable Energy
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：97
- 期：Complete
- 页码：518-531
- 全文大小：2244 K
文摘
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This paper proposes a novel energy maximization algorithm of a sliding-buoy wave energy converter (SBWEC).
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An efficiency optimization mechanism is designed and integrated into the SBWEC.
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The control logic is based on a learning vector quantitative neural network for classifying the wave information.
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The effectiveness of the proposed approach is verified through both simulations and experiments.