Fixed-Time Differentiator-Based Adaptive Nonsingular Fast Terminal Image-Based Visual Servoing for a Quadrotor UAV Subject to Turbulent Wind
This article presents the design of an adaptive nonsingular fast terminal image-based visual servoing. The aim is to drive the position and heading of a quadrotor unmanned aerial vehicle to track a dynamic target without knowledge of target measurements. In addition, the entire system is subject to...
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Published in | IEEE transactions on aerospace and electronic systems Vol. 60; no. 3; pp. 2807 - 2818 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.06.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | This article presents the design of an adaptive nonsingular fast terminal image-based visual servoing. The aim is to drive the position and heading of a quadrotor unmanned aerial vehicle to track a dynamic target without knowledge of target measurements. In addition, the entire system is subject to turbulent wind disturbances of moderate and light intensity described by the Von Karman wind model. A tracking differentiator has been included to provide estimates of the image features-based state vector and its first derivative in a fixed time regardless of the initial estimation error. As a consequence, the design of the visual servoing is simplified since the control law of the proposed visual servoing is independent of velocity measurements from the rotorcraft and the target. Furthermore, a nonsingular fast terminal adaptive sliding mode control has been designed to provide robustness against bounded external disturbances and model uncertainties, practical finite-time state convergence, and chattering attenuation of the control input. A Lyapunov stability analysis is given to guarantee the total stability of the system. Finally, simulations in ROS/Gazebo framework show the advantages and feasibility of the proposed visual controller at a low-altitude operation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0018-9251 1557-9603 |
DOI: | 10.1109/TAES.2024.3354229 |