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L 0 and L 1 Guidance and Path-Following Control for Airborne Wind Energy Systems

Author

Listed:
  • Manuel C. R. M. Fernandes

    (SYSTEC, Department of Electrical and Computer Engineering, Faculty of Engineering, Universidade do Porto, 4099-002 Porto, Portugal)

  • Sérgio Vinha

    (SYSTEC, Department of Electrical and Computer Engineering, Faculty of Engineering, Universidade do Porto, 4099-002 Porto, Portugal)

  • Luís Tiago Paiva

    (SYSTEC, Department of Electrical and Computer Engineering, Faculty of Engineering, Universidade do Porto, 4099-002 Porto, Portugal)

  • Fernando A. C. C. Fontes

    (SYSTEC, Department of Electrical and Computer Engineering, Faculty of Engineering, Universidade do Porto, 4099-002 Porto, Portugal)

Abstract

For an efficient and reliable operation of an Airborne Wind Energy System, it is widely accepted that the kite should follow a pre-defined optimized path. In this article, we address the problem of designing a trajectory controller so that such path is closely followed. The path-following controllers investigated are based on a well-known nonlinear guidance logic termed L 1 and on a proposed modification of it, which we termed L 0. We have developed and implemented both L 0 and L 1 controllers for an AWES. The two controllers have an easy implementation with an explicit expression for the control law based on the cross-track error, on the heading angle relative to the path, and on a single parameter L ( L 0 or L 1 , depending on each controller) that we are able to tune. The L 0 controller has an even easier implementation since the explicit control law can be used without the need to switch controllers. Since the switching of controllers might jeopardize stability, the L 0 controller has an important theoretical advantage in being able to guarantee stability on a larger domain of attraction.The simulation study shows that both nonlinear guidance logic controllers exhibit appropriate performance when the L parameter is adequately tuned, with the L 0 controller showing a better performance when measured in terms of the average cross-track error.

Suggested Citation

  • Manuel C. R. M. Fernandes & Sérgio Vinha & Luís Tiago Paiva & Fernando A. C. C. Fontes, 2022. "L 0 and L 1 Guidance and Path-Following Control for Airborne Wind Energy Systems," Energies, MDPI, vol. 15(4), pages 1-16, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1390-:d:749298
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    References listed on IDEAS

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    1. Luís Tiago Paiva & Fernando A. C. C. Fontes, 2018. "Optimal Control Algorithms with Adaptive Time-Mesh Refinement for Kite Power Systems," Energies, MDPI, vol. 11(3), pages 1-17, February.
    2. Ali Arshad Uppal & Manuel C. R. M. Fernandes & Sérgio Vinha & Fernando A. C. C. Fontes, 2021. "Cascade Control of the Ground Station Module of an Airborne Wind Energy System," Energies, MDPI, vol. 14(24), pages 1-25, December.
    3. Cristina L. Archer & Ken Caldeira, 2009. "Global Assessment of High-Altitude Wind Power," Energies, MDPI, vol. 2(2), pages 1-13, May.
    4. Bechtle, Philip & Schelbergen, Mark & Schmehl, Roland & Zillmann, Udo & Watson, Simon, 2019. "Airborne wind energy resource analysis," Renewable Energy, Elsevier, vol. 141(C), pages 1103-1116.
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