Control Algorithms, Kalman Estimation and Near Actual Simulation for UAVs: State of Art Perspective

The pervasive use of unmanned aerial vehicles for both commercial and military operations has undergone rapid development in the recent past. When designing unmanned aerial vehicles, it is highly desirable for them to be able to complete their missions with minimal human intervention. Reaching full...

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Vydáno v:Drones (Basel) Ročník 7; číslo 6; s. 339
Hlavní autoři: Tahir, Muhammad Amir, Mir, Imran, Islam, Tauqeer Ul
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.06.2023
Témata:
Aircraft
Algorithms
autonomous flight
Aviation
Control algorithms
Control systems
control techniques
Control theory
Controllers
Design and construction
Drone aircraft
Energy consumption
Estimators
fixed-wing
Flight conditions
Internet of Things
Kalman filtering
Methods
Military operations
Navigation systems
near-actual simulations
Sensors
Simulation
Software
state estimation
Surveillance
unmanned aerial vehicle
Unmanned aerial vehicles
Vehicles
Visualization
Pakistan
ISSN:2504-446X, 2504-446X
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Abstract The pervasive use of unmanned aerial vehicles for both commercial and military operations has undergone rapid development in the recent past. When designing unmanned aerial vehicles, it is highly desirable for them to be able to complete their missions with minimal human intervention. Reaching full autonomy requires a reliable and efficient control algorithm that can handle all flight conditions. Due to the confidential nature of UAV design and development, there is a lack of comprehensive literature on the subject. When it comes to the practical application of the ideas presented in the literature, the situation is even bleaker. This research not only examines the flight phases in which controllers and estimators are used for UAVs but also provides an in-depth analysis of the most recent and state-of-the-art control and estimate techniques for UAVs. Research opportunities and challenges specific to UAVs were also examined in this study in an effort to raise the bar for UAV design as a whole and smooth the way for researchers to go from simulation-based research to practical applications. This review paper establishes a foundation that not only investigates the inherent flight dynamics, control architecture, and Kalman estimators utilized in the development of UAVs but also points out the shortcomings that currently exist in research. A number of design considerations for realistic applications and potential studies are presented in the conclusion.
AbstractList The pervasive use of unmanned aerial vehicles for both commercial and military operations has undergone rapid development in the recent past. When designing unmanned aerial vehicles, it is highly desirable for them to be able to complete their missions with minimal human intervention. Reaching full autonomy requires a reliable and efficient control algorithm that can handle all flight conditions. Due to the confidential nature of UAV design and development, there is a lack of comprehensive literature on the subject. When it comes to the practical application of the ideas presented in the literature, the situation is even bleaker. This research not only examines the flight phases in which controllers and estimators are used for UAVs but also provides an in-depth analysis of the most recent and state-of-the-art control and estimate techniques for UAVs. Research opportunities and challenges specific to UAVs were also examined in this study in an effort to raise the bar for UAV design as a whole and smooth the way for researchers to go from simulation-based research to practical applications. This review paper establishes a foundation that not only investigates the inherent flight dynamics, control architecture, and Kalman estimators utilized in the development of UAVs but also points out the shortcomings that currently exist in research. A number of design considerations for realistic applications and potential studies are presented in the conclusion.
Audience Academic
Author Mir, Imran
Tahir, Muhammad Amir
Islam, Tauqeer Ul
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Snippet The pervasive use of unmanned aerial vehicles for both commercial and military operations has undergone rapid development in the recent past. When designing...
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StartPage 339
SubjectTerms Aircraft
Algorithms
autonomous flight
Aviation
Control algorithms
Control systems
control techniques
Control theory
Controllers
Design and construction
Drone aircraft
Energy consumption
Estimators
fixed-wing
Flight conditions
Internet of Things
Kalman filtering
Methods
Military operations
Navigation systems
near-actual simulations
Sensors
Simulation
Software
state estimation
Surveillance
unmanned aerial vehicle
Unmanned aerial vehicles
Vehicles
Visualization
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Title Control Algorithms, Kalman Estimation and Near Actual Simulation for UAVs: State of Art Perspective
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