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Hamiltonian based AUV navigation using finite-time trajectory tracking control

Published: 12 June 2024 Publication History

Abstract

Autonomous underwater vehicles (AUVs) have become an important tool for marine scientific research, and their intelligent control technology has also received widespread attention. This paper proposes a finite-time asymptotic stabilization control scheme via the Hamiltonian method for 3D trajectory tracking of AUV with time-varying external disturbances. We can effectively avoid the drawback of approximate linearization by using orthogonal decomposition technology to transform the AUV trajectory tracking mathematical model into a port controlled Hamiltonian (PCH) model. In addition, we design a finite-time trajectory controller for AUVs using the Hamiltonian control theory. This can improve control accuracy by reducing the convergence time of the AUV trajectory tracking system and avoiding overshoot. The theoretical analysis proves the finite-time stability of the AUV 3D trajectory tracking closed-loop control system based on the finite-time Lyapunov stability theory, and the simulation results verify the effectiveness and superiority of the designed control law.

References

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Published In

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WUWNet '23: Proceedings of the 17th International Conference on Underwater Networks & Systems
November 2023
239 pages
ISBN:9798400716744
DOI:10.1145/3631726
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2024

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Author Tags

  1. AUV
  2. Hamiltonian;
  3. finite-time
  4. trajectory tracking

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  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • National Key Basic Research Program

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WUWNet 2023

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Overall Acceptance Rate 84 of 180 submissions, 47%

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