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Single Landmark Distance-Based Navigation
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OA
AI
DOI：10.1109/TCST.2019.2916089.png)
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摘要
En 中文
In this brief, we study the distance-based navigation problem of unmanned aerial vehicles (UAVs) by using a single landmark placed at an arbitrarily unknown position. To solve the problem, we propose an integrated estimation-control scheme to simultaneously accomplishes two objectives: relative localization using only distance and odometry measurements, and navigation to the desired location under bounded control input. Asymptotic convergence is obtained by invoking the discrete-time LaSalle's invariance principle in the noise-free case, and the stability under distance measurement noise is also investigated. We also validate our theoretical findings on quadcopters equipped with ultra-wideband ranging sensors and optical flow sensors in a global positioning system (GPS)-less environment.
Keyword:
Navigation
Distance measurement
Convergence
Optical sensors
Stability analysis
Unmanned aerial vehicles
Adaptive control
discrete-time
docking
GPS-denied
input saturation
micro aerial vehicles
ranging
relative localization
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期刊
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3.9
论文数:
4.9K
被引数:
1.7W
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