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contributor authorSinha, Abhinav
contributor authorKumar, Shashi Ranjan
date accessioned2025-04-21T10:14:09Z
date available2025-04-21T10:14:09Z
date copyright9/11/2024 12:00:00 AM
date issued2024
identifier issn2690-702X
identifier otherjavs_4_3_031001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305764
description abstractThis paper addresses the time-critical rendezvous problem for a pursuing autonomous unmanned vehicle, e.g., an unmanned aerial vehicle (UAV), guided using the concept of true proportional-navigation guidance, which is a variant of proportional-navigation guidance. In existing vehicle routing and flight time-constrained guidance techniques, specific rendezvous guidance commands are designed based on the specific motion of the target. In contrast to that, we propose a unified guidance command for a UAV that guarantees a time-critical rendezvous with a target that moves arbitrarily. We explore the purview of true proportional-navigation guidance and posit that a guidance law thus designed may be a potential candidate for designing time-critical rendezvous strategies against various target motions, even when the pursuer does not necessarily have a speed advantage over the target. We first derive a closed-form expression for the flight duration until rendezvous, over which we exercise control to make the pursuing vehicle rendezvous with the target at any feasible time prescribed a priori. Next, we ensure that the necessary flight-time-based error variable converges to zero with an optimal convergence pattern with respect to a suitable cost function. We finally validate the efficacy of the proposed unified guidance command via numerical simulations.
publisherThe American Society of Mechanical Engineers (ASME)
titleTime-Critical Unified Rendezvous Guidance for an Unmanned Autonomous Vehicle
typeJournal Paper
journal volume4
journal issue3
journal titleJournal of Autonomous Vehicles and Systems
identifier doi10.1115/1.4066259
journal fristpage31001-1
journal lastpage31001-8
page8
treeJournal of Autonomous Vehicles and Systems:;2024:;volume( 004 ):;issue: 003
contenttypeFulltext


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