Abstract

This paper presents a new technique for exploration and mapping/surveying of underwater infrastructure and/or objects of interest, using multiple autonomous underwater vehicles (AUVs). The proposed method employs rotational potential fields, and extends them for use on multiple vehicles within a three dimensional environment. An inter-vehicle fluid formation is maintained throughout, free of angular constraints (or the need of a virtual vehicle). When an object of interest is approached, the formation is split and follows a smooth trajectory around opposite sides of its boundary. To fully utilise the potential of rotational fields, a unique local 2D-plane is created around every object within the 3D environment, which is employed for boundary coverage. Traditional artificial potential fields are used to guide vehicles towards each object in turn (and maintain the fluid formation), while rotational fields are employed within the local 2D-plane providing a smooth trajectory around opposing sides of every object. Simulation results show the method to be effective, providing a more stable trajectory. Comparison with the standard technique shows that the formation is maintained throughout and overall journey time is significantly reduced using this method.

Highlights

  • The first real developments in the field of autonomous underwater vehicles (AUVs) began in the 1980s, following the increase of low-powered computers coupled with improved software capabilities

  • AUVs range from huge, multi-million dollar behemoths weighing over 60 tonnes [1], right down to small, hand-held models designed for hobbyists with a price tag of just a few hundred dollars [2]

  • A new technique was proposed for the mapping/survey of underwater objects by multiple vehicles using traditional potential fields (APFs) alongside rotational potential fields (RPFs) within a 3D environment

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Summary

Introduction

The first real developments in the field of autonomous underwater vehicles (AUVs) began in the 1980s, following the increase of low-powered computers coupled with improved software capabilities. Over the past number of years, the great need for multiple AUVs (MAUVs) working together within a cooperative framework has been highlighted following crises such as the BP oil spill disaster in 2010 [8] and the tragic disappearance (and subsequently, so far unsuccessful search) of Malaysia Airlines flight MH370 in 2014 [9]. This is a very viable prospect given today’s technology, along with developments in communications, and research is growing in this area. Successful use of the behaviour-based strategy has been made in the modelling of fish schooling behaviour [13]

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