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Target Capturing in an Ellipsoidal Region with a Swarm of Quadrotor UAVs | IEEE Conference Publication | IEEE Xplore

Target Capturing in an Ellipsoidal Region with a Swarm of Quadrotor UAVs


Abstract:

In a recent paper [1], we developed a target capturing strategy for swarms composed of double integrator agents. In this paper, we build on the results in [1] and focus o...Show More

Abstract:

In a recent paper [1], we developed a target capturing strategy for swarms composed of double integrator agents. In this paper, we build on the results in [1] and focus on the implementation of the methodology for a swarm composed of quadrotor UAVs. We utilize both MATLAB and ROS environments under realistic conditions for that purpose. In ROS, we utilize Ultra-Violet LED blinkers based Ultra-Violet Direction And Ranging (UVDAR) system for relative localization. The sensing and localization errors serve as realistic errors for the assumptions in [1] for the uncertainties of the velocity and acceleration of the target. We verify in a realistic scenario that the agents converge to a user-defined ellipsoidal ring around the target despite the uncertainties and the more realistic agent dynamics.
Date of Conference: 21-24 June 2022
Date Added to IEEE Xplore: 26 July 2022
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Conference Location: Dubrovnik, Croatia

I. Introduction

Interest in Unmanned Aerial Vehicles (UAVs) and swarms of UAVs has constantly been increasing in the past decade. The collective dynamics of swarm systems are not only a fascinating natural phenomenon by themselves but also have various engineering applications. Potential applications include search and rescue operations, surveillance/reconnaissance, exploration, and defence, to name a few. Tracking and capturing/enclosing a target is also a significant problem that may arise in some of the mentioned applications [2]. The objective of target capturing by a swarm of agents can be stated as to achieve a formation enclosing or surrounding a specific area or an object (a possibly moving target) by using local information [3]. One difficulty with the capturing problem could be that the agents may have access to only imperfect information about the target. In [1], a target capturing strategy for swarms composed of double integrator agents was developed assuming uncertainties on the target velocity and acceleration. This paper further extends and implements this work on a swarm of quadrotor UAVs. We perform simulations in MATLAB and Robot Operating System (ROS) environments, utilizing generic UAV models and realistic assumptions.

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