Studying the Performance Features of the Scenario Algorithm in the Control System of an Unmanned Aerial System

Author:

Senchuk D.V.

Abstract

In this paper, we consider the results of a full-scale experiment carried out under conditions most closely resembling real operating ones. The goal of the experiment is to identify the performance features of the control system inside an unmanned aerial system (UAS) when using the swarm control method of a decentralized UAS control strategy. The considered flight performance characteristics of a single UAV provide an opportunity to analyze the operation feasibility of the presented UAS to solve other kinds of problems. The results of the presented experiment enable the development of a set of recommendations for further research directions. Also, they provide future UAV operators with better and faster achievement of practical goals during the practical operation of UAS in various conditions. The described features and disadvantages of various BAS control strategies help determine probable options for the BAS configuration depending on the nature of the tasks to be solved later.

Publisher

Altai State University

Subject

General Medicine

Reference13 articles.

1. Kernbach S. Adaptive collective decision-making in limited robot swarms without communication // Int. J. Rob. Res. Sage Publications Sage UK: London, England, 2013. Vol. 32. № 1.

2. Bloss R. Advanced swarm robots addressing innovative tasks such as assembly, search, rescue, mapping, communication, aerial and other original applications // Ind. Robot An Int. J. Emerald Group Publishing Limited. 2019. Vol. 41. № 5.

3. Mondada F., Guignard A, Bonani M., Bar D., Lauria M., Floreano D. SWARM-BOT: from concept to implementation // Proc. 2003 IEEE/RSJ Int. Conf. Intell. Robot. Syst. (IROS 2003) (Cat. No.03CH37453). 2003. Vol. 2.

4. Ильичев К.В., Манцеров С.А. Разработка масштабируемой мобильной робототехнической системы роевого взаимодействия // Вестник Пермского национального исследовательского политехнического ун-та. Электротехника, информационные технологии, системы управления. 2017. № 21.

5. Галкин В.А., Гавриленко Т.В., Смородинов А.Д., Бобровская О.П. Применимость алгоритмов роевого интеллекта для решения задач минимизации функций разных классов // Успехи кибернетики. 2022. Т. 3. № 4.

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