2014
DOI: 10.1007/s10883-014-9222-y
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Lyapunov and Minimum-Time Path Planning for Drones

Abstract: In this paper, we study the problem of controlling an unmanned aerial vehicle (UAV) to provide a target supervision and/or to provide convoy protection to ground vehicles.We first present a control strategy based upon a Lyapunov-LaSalle stabilization method to provide supervision of a stationary target. The UAV is expected to join a pre-designed admissible circular trajectory around the target which is itself a fixed point in the space.Our strategy is presented for both HALE (High Altitude Long Endurance) and … Show more

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Cited by 14 publications
(23 citation statements)
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References 47 publications
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“…The authors in [2] mentioned that classical planning algorithms are based on different approaches such as geometric control [3], optimal control [4], flatness [5] stochastic theory [6]. On the other hand, the authors in [7] presented a survey of motion planning algorithms from the perspective of autonomous UAV guidance.…”
Section: Figurementioning
confidence: 99%
“…The authors in [2] mentioned that classical planning algorithms are based on different approaches such as geometric control [3], optimal control [4], flatness [5] stochastic theory [6]. On the other hand, the authors in [7] presented a survey of motion planning algorithms from the perspective of autonomous UAV guidance.…”
Section: Figurementioning
confidence: 99%
“…Present research shows lots of interest in Unmanned Aerial Vehicle (UAV) navigation, guidance, path tracking, mission and path planning algorithms (Maillot et al 2015). Research in these fields include UAV path planning under uncertainties, coordinated flight control, detection of ground obstacles, mapping etc.…”
Section: Introductionmentioning
confidence: 99%
“…A similar problem with a constant linear velocity has already been addressed in [8]. The purpose of this paper is to study the influence of a non-constant linear velocity.…”
Section: Introductionmentioning
confidence: 99%