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. (2016) A novel control method to maximize the energy-harvesting capability of an adjustable slope angle wave energy converter. Renewable Energy, 97. pp. 518-531. Permanent WRAP URL:http://wrap.warwick.ac.uk/87072 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. This paper introduces a novel control approach to maximizing the output energy of an 12 adjustable slope angle wave energy converter (ASAWEC) with oil-hydraulic power take-off. 13Different from typical floating-buoy WECs, the ASAWEC is capable of capturing wave energy 14 from both heave and surge modes of wave motions. For different waves, online determination of 15 the titling angle plays a significant role in optimizing the overall efficiency of the ASAWEC. To 16 enhance this task, the proposed method was developed based on a learning vector quantitative 17 neural network (LVQNN) algorithm. First, the LVQNN-based supervisor controller detects wave 18 conditions and directly produces the optimal titling angles. Second, a so-called efficiency 19 optimization mechanism (EOM) with a secondary controller was designed to regulate 20 automatically the ASAWEC slope angle to the desired value sent from the supervisor controller. 21A prototype of the ASAWEC was fabricated and a series of simulations and experiments was 22 performed to train the supervisor controller and validate the effectiveness of the proposed control 23 approach with regular waves. The results indicated that the system could reach the optimal angle 24 within 2s and subsequently, the output energy could be maximized. Compared to the performance 25 of a system with a vertically fixed slope angle, an increase of 5% in the overall efficiency was 26 achieved. In addition, simulations of the controlled system were performed with irregular waves 27 to confirm the applicability of the proposed approach in practice. 28 29

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This paper proposes a design and modeling of an innovative wave energy converter using Dielectric electro active polymer (DEAP). Firstly, an accurate model of conventional DEAP generator is investigated and validated under a specific range of ocean waves. Then, a structure design of an antagonistic DEAP generator so-called energy capture unit (ECU), which consists of two DEAPs in antagonistic connection mode to increase harvested energy efficiency, is modeled and validated by experimental data. A new design of WECs is then developed with array of ECUs to increase the output energy. In addition, by using the linear potential wave theory, the hydrodynamic forces are calculated under regular wave conditions. Consequently, a complete analytical model of the proposed WECs using multiple ECUs under hydrodynamic behavior is then obtained to investigate the performance of energy conversion. Finally, based on the developed analytical model, the stretch ratio known as an important factor to efficiency and output power is investigated under the influence of the floating buoy's mass. Then, the resonance behavior of the WECs with a typical wave frequency can be tuned by optimizing the floating's mass to increase the degree of utilization of the device. The simulation results indicate that the efficiency of wave energy converter can be up to 25% thanks to resonance behavior.