Image-Based Visual Servo Tracking Control of a Ground Moving Target for a Fixed-Wing Unmanned Aerial Vehicle
This paper proposes a new control method for the ground moving target tracking problem by a fixed-wing unmanned aerial vehicle (UAV) with a monocular pan-tilt camera. By utilizing the image-based visual servoing, the control law can be directly designed in the image plane, thereby avoiding errors ca...
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Published in | Journal of intelligent & robotic systems Vol. 102; no. 4 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.08.2021
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes a new control method for the ground moving target tracking problem by a fixed-wing unmanned aerial vehicle (UAV) with a monocular pan-tilt camera. By utilizing the image-based visual servoing, the control law can be directly designed in the image plane, thereby avoiding errors caused by the 3D position calculation. Based on that, we design a control framework to integrate the control of the UAV and the pan-tilt, which enables the UAV to track the target while maintaining the feature point near the image center. Furthermore, considering that the low-cost pan-tilt camera we use has restricted characteristics, we present a deterministic finite automata model to transit the states of tracking when the pan-tilt attitude reaches saturation, thereby improving the tracking ability of the UAV for the moving target. The stability proof of the controller is given, and extensive experiments of hardware-in-the-loop (HIL) simulation and real flights are provided. The results show that the proposed method can achieve continuous robust tracking of the ground moving target. |
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ISSN: | 0921-0296 1573-0409 |
DOI: | 10.1007/s10846-021-01425-y |