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Synthesized Landing Strategy for Quadcopter to Land Precisely on a Vertically Moving Apron

Author

Listed:
  • Nguyen Xuan Mung

    (Faculty of Mechanical and Aerospace Engineering, Sejong University, Seoul 05006, Korea)

  • Ngoc Phi Nguyen

    (Faculty of Mechanical and Aerospace Engineering, Sejong University, Seoul 05006, Korea)

  • Dinh Ba Pham

    (Department Mechanical Engineering, Vietnam Maritime University, Haiphong 180000, Vietnam)

  • Nhu Ngoc Dao

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea)

  • Sung Kyung Hong

    (Department of Aerospace Engineering, Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea)

Abstract

Quadcopter unmanned aerial vehicles have become increasingly popular for various real-world applications, and a significant body of literature exists regarding the improvement of their flight capabilities to render them fully autonomous. The precise landing onto moving platforms, such as ship decks, is one of the remaining challenges that is largely unresolved. The reason why this operation poses a considerable challenge is because landing performance is considerably degraded by the ground effect or external disturbances. In this paper, we propose a synthesized landing algorithm that allows a quadcopter to land precisely on a vertically moving pad. Firstly, we introduce a disturbance observer-based altitude controller that allows the vehicle to perform robust altitude flight in the presence of external disturbances and the ground effect, strictly proving the system’s stability using Lyapunov’s theory. Secondly, we derive an apron state estimator to provide information on the landing target’s relative position. Additionally, we propose a landing planner to ensure that the landing task is completed in a safe and reliable manner. Finally, the proposed algorithms are implemented in an actual quadcopter, and we demonstrate the effectiveness and applicability of our method through real flight experiments.

Suggested Citation

  • Nguyen Xuan Mung & Ngoc Phi Nguyen & Dinh Ba Pham & Nhu Ngoc Dao & Sung Kyung Hong, 2022. "Synthesized Landing Strategy for Quadcopter to Land Precisely on a Vertically Moving Apron," Mathematics, MDPI, vol. 10(8), pages 1-14, April.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:8:p:1328-:d:795811
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    Citations

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    Cited by:

    1. Muhammad Maaruf & Waleed M. Hamanah & Mohammad A. Abido, 2023. "Hybrid Backstepping Control of a Quadrotor Using a Radial Basis Function Neural Network," Mathematics, MDPI, vol. 11(4), pages 1-19, February.

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