Abstract
In the paper the programmable simulation environment for Unmanned Aerial Systems (UAS) and the preliminary research of UAV’s swarm applied for a search problem in a large-scale terrain are presented. Proposed approach is based on distributed simulation, multiagent systems and multiresolution modelling in order to perform studies on UAV modelled as a swarm with determined, autonomous, combined behaviours. Some software agents have been simulated in constructive component while others have been controlled by virtual simulator (VBS3) with interoperability provided by DIS or HLA protocols. Furthermore, the biological inspired algorithms (e.g. PSO algorithm and other modifications) have been used to model UAVs’ actions. The preliminary results lead to conclusion of usability of the environment in solving search problem and modelling UAV’s movements and behaviours.
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Notes
- 1.
Intelligence, surveillance and reconnaissance operations [19].
- 2.
E.g. killing of the leader of al-Qaida Anwar al-Awlaki by a U.S. drone attack in 2011.
- 3.
Project LOCUST (Low-Cost UAV Swarming Technology) – the group of drones launched in 2016 from the ground launchers (up to 30), each aircraft is capable to execute self-conducting programmed actions [20].
- 4.
Project PERDIX – micro-drone swarm consisted of 103 Perdix drones launched in 2017 from three F/A-18 Super Hornets fighters and demonstrated advanced swarm behaviours such as collective decision-making, adaptive formation flying, and self-healing [17]; Perdix drone was initially developed at the MIT University in 2010–2011 [21].
- 5.
Commonly used distributed simulation protocols: DIS (35%), HLA (35%), TENA (16%), CTIA (3%), other (7%) [4].
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Skrzypecki, S., Pierzchała, D., Tarapata, Z. (2019). Distributed Simulation Environment of Unmanned Aerial Systems for a Search Problem. In: Mazal, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2018. Lecture Notes in Computer Science(), vol 11472. Springer, Cham. https://doi.org/10.1007/978-3-030-14984-0_6
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