Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods
The use of unmanned aerial systems (UASs) in both the public and military environments is predicted to grow significantly. As the demand for UASs grows, the availability of more robust and capable vehicles that can perform multiple mission types will be needed. In the public sector, the demand will...
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doaj-622cdcd7a503408f9392da8cee6047dc2020-11-25T00:45:39ZengMDPI AGAerospace2226-43102016-01-0131110.3390/aerospace3010001aerospace3010001Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control MethodsChristopher M. Eaton0Edwin K. P. Chong1Anthony A. Maciejewski2Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USADepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USADepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USAThe use of unmanned aerial systems (UASs) in both the public and military environments is predicted to grow significantly. As the demand for UASs grows, the availability of more robust and capable vehicles that can perform multiple mission types will be needed. In the public sector, the demand will grow for UASs to be used for agriculture, forestry, and search and rescue missions. Militaries continue to demand more UAS capabilities for diverse operations around the world. Significant research has been performed and continues to progress in the areas of autonomous UAS control. A majority of the work focuses on subsets of UAS control: path planning, autonomy, small UAS controls, and sensors. Minimal work exists on a system-level problem of multiple-scenario UAS control for integrated systems. This paper provides a high-level modular system architecture definition that is modifiable across platform types and mission requirements. A review of the current research and employment of UAS capabilities is provided to evaluate the state of the capabilities required to enable the proposed architecture.http://www.mdpi.com/2226-4310/3/1/1Unmanned Aerial System (UAS)autonomous systemsUAS controlpath planningsystem architectureMulti-UAS controlcollision avoidancemulti-scenario UAS control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christopher M. Eaton Edwin K. P. Chong Anthony A. Maciejewski |
spellingShingle |
Christopher M. Eaton Edwin K. P. Chong Anthony A. Maciejewski Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods Aerospace Unmanned Aerial System (UAS) autonomous systems UAS control path planning system architecture Multi-UAS control collision avoidance multi-scenario UAS control |
author_facet |
Christopher M. Eaton Edwin K. P. Chong Anthony A. Maciejewski |
author_sort |
Christopher M. Eaton |
title |
Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods |
title_short |
Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods |
title_full |
Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods |
title_fullStr |
Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods |
title_full_unstemmed |
Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods |
title_sort |
multiple-scenario unmanned aerial system control: a systems engineering approach and review of existing control methods |
publisher |
MDPI AG |
series |
Aerospace |
issn |
2226-4310 |
publishDate |
2016-01-01 |
description |
The use of unmanned aerial systems (UASs) in both the public and military environments is predicted to grow significantly. As the demand for UASs grows, the availability of more robust and capable vehicles that can perform multiple mission types will be needed. In the public sector, the demand will grow for UASs to be used for agriculture, forestry, and search and rescue missions. Militaries continue to demand more UAS capabilities for diverse operations around the world. Significant research has been performed and continues to progress in the areas of autonomous UAS control. A majority of the work focuses on subsets of UAS control: path planning, autonomy, small UAS controls, and sensors. Minimal work exists on a system-level problem of multiple-scenario UAS control for integrated systems. This paper provides a high-level modular system architecture definition that is modifiable across platform types and mission requirements. A review of the current research and employment of UAS capabilities is provided to evaluate the state of the capabilities required to enable the proposed architecture. |
topic |
Unmanned Aerial System (UAS) autonomous systems UAS control path planning system architecture Multi-UAS control collision avoidance multi-scenario UAS control |
url |
http://www.mdpi.com/2226-4310/3/1/1 |
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