Modeling the Interaction of Unmanned Aerial Vehicles in a Swarm as an Object with Distributed Parameters

Many scientific studies using unmanned aerial vehicle swarms were considered and the principles of control and interaction between swarm elements were analyzed (the models of swarm behavior, the motion coordination model, the decision-making models). An approach to the management of unmanned aerial...

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Bibliographic Details
Published in:International Conference on Advanced Computer Information Technologies (Print) pp. 60 - 66
Main Authors: Dyvak, Mykola, Spivak, Iryna, Dyvak, Taras, Kindzerskyi, Oleksandr
Format: Conference Proceeding
Language:English
Published: IEEE 19.09.2024
Subjects:
a swarm of unmanned aerial vehicles
analysis of interval data
Analytical models
artificial bee colony
Autonomous aerial vehicles
Computational modeling
Data models
Dispersion
Distributed databases
Mathematical models
modeling the interaction of unmanned aerial vehicles in a swarm
Numerical models
Predictive models
principles of control of swarm elements
Software algorithms
the object with distributed parameters
ISSN:2770-5226
Online Access:Get full text
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Summary:Many scientific studies using unmanned aerial vehicle swarms were considered and the principles of control and interaction between swarm elements were analyzed (the models of swarm behavior, the motion coordination model, the decision-making models). An approach to the management of unmanned aerial vehicle swarms based on an algorithm is proposed, which will allow, by changing only part of the parameters of the elements, to adjust all other elements of the swarm. The feasibility of developing a mathematical model of characteristics of unmanned aerial vehicle swarm as objects with dispersion parameters is demonstrated. The article describes the proposed approach for the synthesis of mathematical models of the characteristics of swarm elements as objects with dispersion parameters using structural-parametric analysis. The validation of the model is carried out on the basis of obtained data in the specified observation area, and the adequate prognostic features of the model are confirmed.
ISSN:2770-5226
DOI:10.1109/ACIT62333.2024.10712502