2017 IEEE International Conference on Robotics and Automation (ICRA) 2017
DOI: 10.1109/icra.2017.7989315
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Three dimensional moving path following for fixed-wing unmanned aerial vehicles

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Cited by 17 publications
(10 citation statements)
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“…Furthermore, if (h, z) does not converge to the unstable point (−h * , 0), then (h, z) converges to (h * , 0). In this latter case, if h * is given by (24)- (25), then the path following errorp converges to zero and h converges to the desired direction, i.e. sign vu u.…”
Section: Attitude Controlmentioning
confidence: 99%
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“…Furthermore, if (h, z) does not converge to the unstable point (−h * , 0), then (h, z) converges to (h * , 0). In this latter case, if h * is given by (24)- (25), then the path following errorp converges to zero and h converges to the desired direction, i.e. sign vu u.…”
Section: Attitude Controlmentioning
confidence: 99%
“…A practical application would, for instance, consist in having an aircraft fly in circles over a moving ground target. This problem is also referred to as Moving Path Following (MPF) in [10] [25]. We leave the interested reader to verify that this extension just involves the modification of equations (13), (14), (15) according tȯ…”
Section: Extension To a Curve Defined On A Translating Framementioning
confidence: 99%
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“…Further, it is observed that the MPF problem retains the advantages of the classical path following schemes (Aguiar et al, 2005 ) such as faster convergence of the robot to the moving path, while allowing the target reference frame to move freely. The works in Oliveira and Encarnação ( 2013 ) and Oliveira et al ( 2016 ) introduced the MPF control problem for tracking of ground targets using Unmanned Aerial Vehicles (UAVs) and later on, Oliveira et al ( 2017 ) extended the solution to the 3D case. The proposed approach was suitable for robotic vehicles requiring a minimum positive forward speed, such as certain types of AUVs.…”
Section: Introductionmentioning
confidence: 99%
“…An interesting motion control problem arises when the frame of reference of the geometric path itself is moving or varies with respect to time. This leads to a generalized Path Following motion control problem termed as the Moving Path Following (MPF) problem introduced in [3][4][5]. The Moving Path Following problem arises in applications such as tracking a moving target [6,7], autonomous landing of Unmanned Aerial Vehicle (UAV) or docking of an Autonomous Underwater Vehicle (AUV) on a moving platform [8], and target estimation and tracking problems where the robot tracks a moving target while performing observability based maneuvers in order to estimate the target position [9,10].…”
Section: Introductionmentioning
confidence: 99%