Abstract
In this article, an optimal method of unmanned aerial vehicle selection for following a moving ground target is presented. The most suitable unmanned aerial vehicle from an aircraft operating fleet is selected for tracking task. The aircraft choice is done taking regarding the unmanned aerial vehicle distribution in the mission zone, individual performance of fleet platforms, and maneuverability of a ground platform. The unmanned aerial vehicle fleet members’ flying qualities are various, so an optimization process is used to assign an aircraft to follow the ground target. A target trajectory prediction is embedded in tracking algorithm. The simulation results demonstrated the effectiveness of algorithms developed, and in-flight demonstration proved the possibility of realization of computed trajectories by the unmanned aerial vehicle.
Highlights
A tracking of moving objects by unmanned aerial vehicles (UAVs) is investigated by many authors.[1,2,3,4] In this research, the tracking task was a part of wider mission that contains three phases: Locate, Target, and Track (LTT)
The tracking of a ground-moving platform by an UAV is considered in the article
The tracking algorithm starts with the first step—a method for selection of the best UAV from the fleet distributed throughout the mission zone, based on one-step optimization
Summary
A tracking of moving objects by unmanned aerial vehicles (UAVs) is investigated by many authors.[1,2,3,4] In this research, the tracking task was a part of wider mission that contains three phases: Locate, Target, and Track (LTT). Advances in Mechanical Engineering prove its applicability, the method was applied in real flight, with the use of set of various UAVs. One of the key elements of optimization was the selection of the best aircraft for tracking. Estimated remained flight duration of each UAV performing tracking, based on fuel/energy consumption and assumed the ‘‘worst’’ target escaping trajectory;
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