A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle

This paper proposes an algorithm that will allow an autonomous aerial drone to approach and follow a steady or moving herd of cattle using only range measurements. The algorithm is also insensitive to the complexity of the herd’s movement and the measurement noise. Once arrived at the herd of cattle...

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Main Authors: Manaram Gnanasekera, Jay Katupitiya, Andrey V. Savkin, A.H.T. Eranga De Silva
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/21/7218
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author Manaram Gnanasekera
Jay Katupitiya
Andrey V. Savkin
A.H.T. Eranga De Silva
author_facet Manaram Gnanasekera
Jay Katupitiya
Andrey V. Savkin
A.H.T. Eranga De Silva
author_sort Manaram Gnanasekera
collection DOAJ
description This paper proposes an algorithm that will allow an autonomous aerial drone to approach and follow a steady or moving herd of cattle using only range measurements. The algorithm is also insensitive to the complexity of the herd’s movement and the measurement noise. Once arrived at the herd of cattle, the aerial drone can follow it to a desired destination. The primary motivation for the development of this algorithm is to use simple, inexpensive and robust sensing hence range sensors. The algorithm does not depend on the accuracy of the range measurements, rather the rate of change of range measurements. The proposed method is based on sliding mode control which provides robustness. A mathematical analysis, simulations and experimental results with a real aerial drone are presented to demonstrate the effectiveness of the proposed method.
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spelling doaj.art-72d51e5e33c5495ead12f8ab9ecd03f72023-11-22T21:38:21ZengMDPI AGSensors1424-82202021-10-012121721810.3390/s21217218A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of CattleManaram Gnanasekera0Jay Katupitiya1Andrey V. Savkin2A.H.T. Eranga De Silva3School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, AustraliaThis paper proposes an algorithm that will allow an autonomous aerial drone to approach and follow a steady or moving herd of cattle using only range measurements. The algorithm is also insensitive to the complexity of the herd’s movement and the measurement noise. Once arrived at the herd of cattle, the aerial drone can follow it to a desired destination. The primary motivation for the development of this algorithm is to use simple, inexpensive and robust sensing hence range sensors. The algorithm does not depend on the accuracy of the range measurements, rather the rate of change of range measurements. The proposed method is based on sliding mode control which provides robustness. A mathematical analysis, simulations and experimental results with a real aerial drone are presented to demonstrate the effectiveness of the proposed method.https://www.mdpi.com/1424-8220/21/21/7218aerial dronesunmanned aerial vehiclesUAVsautonomous navigationherdinganimal farming
spellingShingle Manaram Gnanasekera
Jay Katupitiya
Andrey V. Savkin
A.H.T. Eranga De Silva
A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle
Sensors
aerial drones
unmanned aerial vehicles
UAVs
autonomous navigation
herding
animal farming
title A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle
title_full A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle
title_fullStr A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle
title_full_unstemmed A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle
title_short A Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle
title_sort range based algorithm for autonomous navigation of an aerial drone to approach and follow a herd of cattle
topic aerial drones
unmanned aerial vehicles
UAVs
autonomous navigation
herding
animal farming
url https://www.mdpi.com/1424-8220/21/21/7218
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