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Robust and low computational cost controller for improving captured power in heaving wave energy converters

Author

Listed:
  • Wahyudie, A.
  • Jama, M.A.
  • Saeed, O.
  • Noura, H.
  • Assi, A.
  • Harib, K.

Abstract

This study suggests a simple and robust control strategy for improving captured power in heaving wave energy converters (WEC). The controller aims at optimizing the captured power using a hierarchical control strategy (HCS), which consists of a higher and lower control levels. The top level control is responsible of producing the reference velocity that is used by the lower level controller to regulate the actual velocity of the WEC buoy. The reference is generated by solving an offline optimization problem for maximizing the absorbed energy subject to the buoy motion constraints. As an attempt to avoid computational complexity in real-time operation, a simple look-up table is produced for various sea-states conditions. In order to track this reference, sliding mode controller (SMC) is deployed. The design parameters of the SMC is tuned offline using a well-known model of WEC. Any perturbations, nonlinearities, and disturbances not covered by the used model will be handled by the robustness property of the SMC. Moreover, the used SMC does not add any further complexity to the overall control strategy. The proposed method is validated in both regular and irregular sea-states, as well as in both nominal and perturbed scenarios. Other control strategies were also used to further assess the performance of the proposed control strategy. Based on the simulation results, the proposed hierarchical controller outperformed the other controllers in both nominal and perturbed scenarios.

Suggested Citation

  • Wahyudie, A. & Jama, M.A. & Saeed, O. & Noura, H. & Assi, A. & Harib, K., 2015. "Robust and low computational cost controller for improving captured power in heaving wave energy converters," Renewable Energy, Elsevier, vol. 82(C), pages 114-124.
    • Handle: RePEc:eee:renene:v:82:y:2015:i:c:p:114-124
    DOI: 10.1016/j.renene.2014.09.021
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    References listed on IDEAS

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    1. Mohammed Jama & Addy Wahyudie & Ali Assi & Hassan Noura, 2014. "An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers," Energies, MDPI, vol. 7(6), pages 1-21, June.
    2. Hong, Yue & Waters, Rafael & Boström, Cecilia & Eriksson, Mikael & Engström, Jens & Leijon, Mats, 2014. "Review on electrical control strategies for wave energy converting systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 329-342.
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    Cited by:

    1. Zou, Shangyan & Song, Jiajun & Abdelkhalik, Ossama, 2023. "A sliding mode control for wave energy converters in presence of unknown noise and nonlinearities," Renewable Energy, Elsevier, vol. 202(C), pages 432-441.
    2. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    3. Shi, Hongda & Cao, Feifei & Liu, Zhen & Qu, Na, 2016. "Theoretical study on the power take-off estimation of heaving buoy wave energy converter," Renewable Energy, Elsevier, vol. 86(C), pages 441-448.

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