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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Manaram Gnanasekera, Jay Katupitiya, Andrey V. Savkin, A.H.T. Eranga De Silva
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/72d51e5e33c5495ead12f8ab9ecd03f7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:72d51e5e33c5495ead12f8ab9ecd03f7
record_format dspace
spelling oai:doaj.org-article:72d51e5e33c5495ead12f8ab9ecd03f72021-11-11T19:11:50ZA Range-Based Algorithm for Autonomous Navigation of an Aerial Drone to Approach and Follow a Herd of Cattle10.3390/s212172181424-8220https://doaj.org/article/72d51e5e33c5495ead12f8ab9ecd03f72021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7218https://doaj.org/toc/1424-8220This 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.Manaram GnanasekeraJay KatupitiyaAndrey V. SavkinA.H.T. Eranga De SilvaMDPI AGarticleaerial dronesunmanned aerial vehiclesUAVsautonomous navigationherdinganimal farmingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7218, p 7218 (2021)
institution DOAJ
collection DOAJ
language EN
topic aerial drones
unmanned aerial vehicles
UAVs
autonomous navigation
herding
animal farming
Chemical technology
TP1-1185
spellingShingle aerial drones
unmanned aerial vehicles
UAVs
autonomous navigation
herding
animal farming
Chemical technology
TP1-1185
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
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.
format article
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
title 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_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_sort range-based algorithm for autonomous navigation of an aerial drone to approach and follow a herd of cattle
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/72d51e5e33c5495ead12f8ab9ecd03f7
work_keys_str_mv AT manaramgnanasekera arangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT jaykatupitiya arangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT andreyvsavkin arangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT ahterangadesilva arangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT manaramgnanasekera rangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT jaykatupitiya rangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT andreyvsavkin rangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
AT ahterangadesilva rangebasedalgorithmforautonomousnavigationofanaerialdronetoapproachandfollowaherdofcattle
_version_ 1718431590591234048