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Function-Based Model Predictive Control Approach for Maximum Power Capture of Heaving Wave Energy Converters

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ICREGA’14 - Renewable Energy: Generation and Applications

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Abstract

This paper investigates the application of function based model predictive control (MPC) approach to control the movement of single-body heaving wave energy converter (WEC). The proposed controller is designed based on the principle of maximum power transfer, at which maximum power absorption is attained. In addition, the suggested MPC controller respects the physical and thermal limitations of the WEC. Also, the generalized architecture of the proposed controller allows for longer prediction horizons and permits to effectively tune the controller based on the surrounding wave environment. Simulations have been carried out to assess the performance of the proposed controller using realistic sea states. Results show that the proposed MPC controller has achieved satisfactory performance allowing the WEC to optimize energy absorption while respecting the system limitations.

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Correspondence to Mohammed Jama .

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Jama, M., Wahyudie, A., Assi, A., Noura, H. (2014). Function-Based Model Predictive Control Approach for Maximum Power Capture of Heaving Wave Energy Converters. In: Hamdan, M., Hejase, H., Noura, H., Fardoun, A. (eds) ICREGA’14 - Renewable Energy: Generation and Applications. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-05708-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-05708-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05707-1

  • Online ISBN: 978-3-319-05708-8

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