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Advanced, Contemporary Control pp 1553–1564Cite as

Vision-Based Modelling and Control of Small Underwater Vehicles

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1196)

Abstract

Modelling and control of underwater vehicles in most cases, demand their hydrodynamic parameters’ identification, which is a timely and technically demanding task. Therefore, more convenient methods of utilising vision systems have been introduced. However, many solutions presented in the literature assume that a camera is mounted in the central part of a swimming pool. What is more, they are not applicable for trajectory determination, which constitutes an essential factor in devising a control system of autonomous vehicles. For that reason, a computer vision system has been designed and developed, which enables tracking a vehicle and determining its trajectory as well. The obtained results indicate that the developed system enables modelling and control of underwater vehicles under laboratory conditions.

Keywords

  • Mathematical model
  • Underwater vehicle
  • Vision system
  • Trajectory determination

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Acknowledgement

The paper is supported by Project No. DOBR-BIO4/033/13015/2013, entitled “Autonomous underwater vehicles with silent undulating propulsion for underwater reconnaissance” financed by Polish National Centre of Research and Development.

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Authors and Affiliations

  1. Polish Naval Academy, Gdynia, Poland

    Stanisław Hożyń

Authors
  1. Stanisław Hożyń
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Correspondence to Stanisław Hożyń .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Prof. Andrzej Bartoszewicz

  2. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Prof. Jacek Kabziński

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Prof. Janusz Kacprzyk

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Hożyń, S. (2020). Vision-Based Modelling and Control of Small Underwater Vehicles. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_129

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