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Position and Velocity Filters for ASC/I-AUV Tandems Based on Single Range Measurements

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Abstract

This paper proposes novel cooperative navigation solutions for an Intervention Autonomous Underwater Vehicle (I-AUV) working in tandem with an Autonomous Surface Craft (ASC). The I-AUV is assumed to be moving in the presence of constant unknown ocean currents, and aims to estimate its position relying on measurements of its range to the ASC. Two different scenarios are considered: in the first scenario, the ASC transmits its position and velocity to the I-AUV, and the I-AUV has access to readings of its velocity relative to the water. In the second scenario, the ASC transmits only its position, and the I-AUV has access to measurements of its velocity relative to the ASC. In both cases, it is assumed that an Attitude and Heading Reference System (AHRS) mounted on-board the I-AUV provides measurements of its attitude and angular velocity. A sufficient condition for observability and a method for designing state observers with Globally Asymptotically Stable (GAS) error dynamics are presented for both problems. Finally, simulation results are included and discussed to assess the performance of the proposed solutions in the presence of measurement noise.

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Authors and Affiliations

  1. Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    Daniel Viegas, Pedro Batista, Paulo Oliveira & Carlos Silvestre

  2. Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    Paulo Oliveira

  3. Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau

    Carlos Silvestre

Authors
  1. Daniel Viegas
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  2. Pedro Batista
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  3. Paulo Oliveira
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  4. Carlos Silvestre
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Correspondence to Daniel Viegas.

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Viegas, D., Batista, P., Oliveira, P. et al. Position and Velocity Filters for ASC/I-AUV Tandems Based on Single Range Measurements. J Intell Robot Syst 74, 745–768 (2014). https://doi.org/10.1007/s10846-013-9876-9

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  • DOI: https://doi.org/10.1007/s10846-013-9876-9

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