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Enhancing the performance of heaving wave energy converters using model-free control approach

Author

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  • Jama, M.A.
  • Noura, H.
  • Wahyudie, A.
  • Assi, A.

Abstract

This paper investigates the application of model free control (MFC) strategy to optimally control the oscillation of single body heaving waves energy converter (WEC). The aim of the proposed controller is to maximize the electrical energy output of the device. The MFC is an off-line fixed structure control approach that combines between simplicity and insensitivity to system uncertainties and/or operational conditions. The proposed controller is based on a classical linear compensator, which is designed and tuned using only the well-known dynamics of the WEC. Therefore, any extra unknown or partially known dynamics are taken care of using the ultra-local model (ULM). Simulation results show that the MFC performance is superior to that of the base linear compensator, in terms of reference tracking capability and robustness towards uncertainties. Also other well-established control strategies are used to further validate the proposed controller.

Suggested Citation

  • Jama, M.A. & Noura, H. & Wahyudie, A. & Assi, A., 2015. "Enhancing the performance of heaving wave energy converters using model-free control approach," Renewable Energy, Elsevier, vol. 83(C), pages 931-941.
    • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:931-941
    DOI: 10.1016/j.renene.2015.05.015
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    References listed on IDEAS

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    1. Belmont, M.R., 2010. "Increases in the average power output of wave energy converters using quiescent period predictive control," Renewable Energy, Elsevier, vol. 35(12), pages 2812-2820.
    2. Kara, Fuat, 2010. "Time domain prediction of power absorption from ocean waves with latching control," Renewable Energy, Elsevier, vol. 35(2), pages 423-434.
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    Cited by:

    1. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Michel Fliess & Cédric Join & Cyril Voyant, 2018. "Prediction bands for solar energy: New short-term time series forecasting techniques," Post-Print hal-01736518, HAL.
    3. Kenan Hatipoglu & Mohammed Olama & Yaosuo Xue, 2020. "Model-Free Dynamic Voltage Control of Distributed Energy Resource (DER)-Based Microgrids," Energies, MDPI, vol. 13(15), pages 1-17, July.
    4. Son, Daewoong & Yeung, Ronald W., 2017. "Optimizing ocean-wave energy extraction of a dual coaxial-cylinder WEC using nonlinear model predictive control," Applied Energy, Elsevier, vol. 187(C), pages 746-757.

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