Rendezvous and Standoff Target Tracking Guidance Using Differential Geometry

Oh, Hyondong; Kim, Taegyun; Shin, Hyo‐Sang; White, Brian; Tsourdos, Antonios; Rabbath, C.A.

doi:10.1007/s10846-012-9751-0

Cited by 60 publications

(20 citation statements)

References 21 publications

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“…Once cooperative UAVs achieve the goal (the standoff distance and the angular separation) using the path shaping approach, an active guidance algorithm such as the vector field guidance [8], [10] can be applied to track the maneuvering target tightly while estimating information of the target through filtering as in [15], [34]. The target encirclement problem for a moving target and a workable solution that achieves uniform (temporal) separation of constant-speed vehicles is also considered in [35].…”

Section: B Phase Correction By a Two-orbit Approachmentioning

confidence: 99%

Coordinated Standoff Tracking Using Path Shaping for Multiple UAVs

Turchi

Kim

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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Section: B Phase Correction By a Two-orbit Approachmentioning

confidence: 99%

Coordinated Standoff Tracking Using Path Shaping for Multiple UAVs

Turchi

Kim

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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“…The differential geometry is adopted to solve the problem of rendezvous and target tracking guidance laws in [9]. The proposed method has the advantage of rigorous stability as well as less tuning parameters.…”

Section: Introductionmentioning

confidence: 99%

Target Tracking Based on a Nonsingular Fast Terminal Sliding Mode Guidance Law by Fixed-Wing UAV

Cai

Zhao

et al. 2017

Applied Sciences

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This paper proposes a modified nonsingular fast terminal sliding mode (NFTSM) guidance law to solve the problem of ground moving target tracking for fixed-wing unmanned aerial vehicle (UAV) in a planar environment. Firstly, the loitering algorithm is analysed, which can steer the UAV to follow and circle around a ground moving target with the desired distance by heading angle control. Secondly, the effects of different parameters on the convergence time of sliding manifold is presented which is helpful for the designing of sliding manifold. Singularity can be avoided by using a modified saturation function which is obtained through a small range around the null point. Moreover, the NFTSM sliding manifold is used in the loitering algorithm. By using the Lyapunov theory, the finite-time convergence of the proposed method has been proved in the the reaching phase and the sliding phase. In order to verify the approach's feasibility and benefits, numerical simulations are performed by using a moving target with three different motion states in comparison with the conventional sliding model control method. Simulation results indicate that, under the proposed NFTSM guidance law, the UAV can reach the desired distance in a short time.

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“…In the vast literature on circumnavigation, most of works assume access to the full coordinates of the target object, either absolute or relative (see e.g., [32,33,34,35,36,37,31] for representative samples and literature overview), or access to its angular coordinates (see e.g. [29] and literature therein).…”

Section: Introductionmentioning

confidence: 99%