Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
}
TY - CHAP
T1 - Unmanned Aerial Systems
T2 - Autonomy, Cognition and Control
AU - Montazeri, Allahyar
AU - Can, Aydin
AU - Imran, Imil
PY - 2021/1/21
Y1 - 2021/1/21
N2 - Increasing trend towards higher level of autonomy in unmanned aerial systems(UASs) requires less control by the human operator and increasing capabilityto perform complex tasks by reacting to the environmental influences. Nevertheless, current UASs, are designed to function in static, and predictableenvironments. Therefore, it is envisaged that the existing uncertainties and dynamic changes, caused when an unmanned aerial vehicle (UAV) is operatingin an unknown environment, would degrade its performance signicantly. Theuncertainties can be also incurred through interaction with other complex andintelligent systems, such as humans. We present a compact literature survey ofUASs control and navigation as a basic knowledge to develop UASs from theperspective of control engineer. Besides, we present several control strategies tomaintain a UAS, as well as multi-UASs under a network setting under variousscenarios. Several simulations are given to illustrate the performance of the controllers in MATLAB. Advances in computing power and algorithms currentlyenable development of systems with high degree of autonomy. Nonetheless, there is a large gap between practical operation in a real-world and laboratory implementation, as safe deployment of UASs, requires validation of their behaviour under almost all envisaged scenarios. A reliable and autonomous operation of such a system requires design and development of a cognitive control system that acquires knowledge and understanding of the surrounding environment via perception, reasoning and learning. Cognitive control systems in UASs will enhance their safety and performance. Cognitive control can also be used in cooperative execution of complex tasks where multiple agents such as humans, machines or both interact. Such UASs will have a great potential to be used in extreme environments such as search and rescue in case of disaster, nuclear decommissioning operation, deep-sea exploration, mining, etc.
AB - Increasing trend towards higher level of autonomy in unmanned aerial systems(UASs) requires less control by the human operator and increasing capabilityto perform complex tasks by reacting to the environmental influences. Nevertheless, current UASs, are designed to function in static, and predictableenvironments. Therefore, it is envisaged that the existing uncertainties and dynamic changes, caused when an unmanned aerial vehicle (UAV) is operatingin an unknown environment, would degrade its performance signicantly. Theuncertainties can be also incurred through interaction with other complex andintelligent systems, such as humans. We present a compact literature survey ofUASs control and navigation as a basic knowledge to develop UASs from theperspective of control engineer. Besides, we present several control strategies tomaintain a UAS, as well as multi-UASs under a network setting under variousscenarios. Several simulations are given to illustrate the performance of the controllers in MATLAB. Advances in computing power and algorithms currentlyenable development of systems with high degree of autonomy. Nonetheless, there is a large gap between practical operation in a real-world and laboratory implementation, as safe deployment of UASs, requires validation of their behaviour under almost all envisaged scenarios. A reliable and autonomous operation of such a system requires design and development of a cognitive control system that acquires knowledge and understanding of the surrounding environment via perception, reasoning and learning. Cognitive control systems in UASs will enhance their safety and performance. Cognitive control can also be used in cooperative execution of complex tasks where multiple agents such as humans, machines or both interact. Such UASs will have a great potential to be used in extreme environments such as search and rescue in case of disaster, nuclear decommissioning operation, deep-sea exploration, mining, etc.
KW - Unmanned aerial systems
KW - Attitude control
KW - Cyber-physical systems
KW - Mobile robots
KW - Navigation systems
KW - Hazardous environments
KW - Nuclear decommissioning
KW - unmanned aerial vehicle
U2 - 10.1016/B978-0-12-820276-0.00010-8
DO - 10.1016/B978-0-12-820276-0.00010-8
M3 - Chapter (peer-reviewed)
SN - 9780128202760
SP - 47
EP - 80
BT - Unmanned Aerial Systems
A2 - Koubaa, Anis
A2 - Taher Azar, Ahmad
PB - Elsevier
ER -