MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities

Inspection and monitoring of wet nuclear storage facilities such as spent fuel pools or wet silos is performed for a variety of reasons, including nuclear security and characterisation of storage facilities prior to decommissioning. Until now such tasks have been performed by personnel or, if the ri...

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Main Authors: Keir Groves, Andrew West, Konrad Gornicki, Simon Watson, Joaquin Carrasco, Barry Lennox
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/8/2/47
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author Keir Groves
Andrew West
Konrad Gornicki
Simon Watson
Joaquin Carrasco
Barry Lennox
author_facet Keir Groves
Andrew West
Konrad Gornicki
Simon Watson
Joaquin Carrasco
Barry Lennox
author_sort Keir Groves
collection DOAJ
description Inspection and monitoring of wet nuclear storage facilities such as spent fuel pools or wet silos is performed for a variety of reasons, including nuclear security and characterisation of storage facilities prior to decommissioning. Until now such tasks have been performed by personnel or, if the risk to health is too high, avoided. Tasks are often repetitive, time-consuming and potentially dangerous, making them suited to being performed by an autonomous robot. Previous autonomous surface vehicles (ASVs) have been designed for operation in natural outdoor environments and lack the localisation and tracking accuracy necessary for operation in a wet nuclear storage facility. In this paper the environmental and operational conditions are analysed, applicable localisation technologies selected and a unique aquatic autonomous surface vehicle (ASV) is designed and constructed. The ASV developed is holonomic, uses a LiDAR for localisation and features a robust trajectory tracking controller. In a series of experiments the mean error between the present ASV’s planned path and the actual path is approximately 1 cm, which is two orders of magnitude lower than previous ASVs. As well as lab testing, the ASV has been used in two deployments, one of which was in an active spent fuel pool.
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spelling doaj.art-a14d7e5cb784483ab7b9d828e353a6a62022-12-22T04:01:20ZengMDPI AGRobotics2218-65812019-06-01824710.3390/robotics8020047robotics8020047MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage FacilitiesKeir Groves0Andrew West1Konrad Gornicki2Simon Watson3Joaquin Carrasco4Barry Lennox5School of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UKInspection and monitoring of wet nuclear storage facilities such as spent fuel pools or wet silos is performed for a variety of reasons, including nuclear security and characterisation of storage facilities prior to decommissioning. Until now such tasks have been performed by personnel or, if the risk to health is too high, avoided. Tasks are often repetitive, time-consuming and potentially dangerous, making them suited to being performed by an autonomous robot. Previous autonomous surface vehicles (ASVs) have been designed for operation in natural outdoor environments and lack the localisation and tracking accuracy necessary for operation in a wet nuclear storage facility. In this paper the environmental and operational conditions are analysed, applicable localisation technologies selected and a unique aquatic autonomous surface vehicle (ASV) is designed and constructed. The ASV developed is holonomic, uses a LiDAR for localisation and features a robust trajectory tracking controller. In a series of experiments the mean error between the present ASV’s planned path and the actual path is approximately 1 cm, which is two orders of magnitude lower than previous ASVs. As well as lab testing, the ASV has been used in two deployments, one of which was in an active spent fuel pool.https://www.mdpi.com/2218-6581/8/2/47ASVunmanned surface vehicleautonomous surface vehicleUSVnuclear fuel storagespent fuel poolextreme environmentnuclear robotics
spellingShingle Keir Groves
Andrew West
Konrad Gornicki
Simon Watson
Joaquin Carrasco
Barry Lennox
MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities
Robotics
ASV
unmanned surface vehicle
autonomous surface vehicle
USV
nuclear fuel storage
spent fuel pool
extreme environment
nuclear robotics
title MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities
title_full MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities
title_fullStr MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities
title_full_unstemmed MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities
title_short MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities
title_sort mallard an autonomous aquatic surface vehicle for inspection and monitoring of wet nuclear storage facilities
topic ASV
unmanned surface vehicle
autonomous surface vehicle
USV
nuclear fuel storage
spent fuel pool
extreme environment
nuclear robotics
url https://www.mdpi.com/2218-6581/8/2/47
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