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Intelligent Hybrid Control of Individual Blade Pitch for Load Mitigation

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CONTROLO 2022 (CONTROLO 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 930))

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Abstract

Floating offshore wind turbines are energy devices that are subjected to strong loads, mainly wind and waves. Besides, they are complex and nonlinear systems, which make the task of controlling them more difficult. In this work, the control of the angle of the blades of a floating wind turbine is addressed, with the final goal of reducing the vibrations in the structure without compromising the extracted power. For this purpose, an intelligent hybrid control strategy is implemented. It consists of an incremental PD fuzzy controller combined with a linear quadratic regulator (LQR), which is optimized with genetic algorithms (GA). To test the control scheme, simulations are performed with the FAST software in the Matlab/Simulink environment on a realistic model of a FOWT. Results are compared with those obtained by the gain scheduling PI controller (GSPI) embedded in FAST, in terms of tower vibrations and turbine power output. A significant performance improvement was obtained with the proposed control scheme.

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Acknowledgements

This work was partially supported by the Spanish Ministry of Science, Innovation and Universities under MCI/AEI/FEDER Project number RTI2018-094902-B-C21.

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Authors and Affiliations

  1. Complutense University of Madrid, 28040, Madrid, Spain

    C. Serrano & J. E. Sierra-García

  2. Institute of Knowledge Technology, University Complutense of Madrid, 28040, Madrid, Spain

    M. Santos & J. E. Sierra-García

  3. University of Burgos, Burgos, Spain

    J. E. Sierra-García

Authors
  1. C. Serrano
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  2. M. Santos
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  3. J. E. Sierra-García
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Corresponding author

Correspondence to C. Serrano .

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Editors and Affiliations

  1. Electrical and Computer Engineering Department, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal

    Luís Brito Palma

  2. Electrical and Computer Engineering Department, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal

    Rui Neves-Silva

  3. Electrical and Computer Engineering Department, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal

    Luís Gomes

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Serrano, C., Santos, M., Sierra-García, J.E. (2022). Intelligent Hybrid Control of Individual Blade Pitch for Load Mitigation. In: Brito Palma, L., Neves-Silva, R., Gomes, L. (eds) CONTROLO 2022. CONTROLO 2022. Lecture Notes in Electrical Engineering, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-031-10047-5_53

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