Размещение бортового оборудования в пространстве фюзеляжа беспилотного летательного аппарата с применением генетического алгоритма
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Placing on-board equipment in the fuselage space of an unmanned aerial vehicle using a genetic algorithm

idGainutdinov R.R., idChermoshentsev S.F.

UDC 681.396.6.049.77
DOI: 10.26102/2310-6018/2024.44.1.021

  • Abstract
  • List of references
  • About authors

The current stage of unmanned aircraft system development is characterized by the widespread introduction of automated and intelligent electronic systems. One of the most difficult and critical stages in the development of unmanned aerial vehicles is determining the optimal locations for placing on-board equipment in the fuselage space. To solve this problem, the approach for determining the optimal installation locations for on-board equipment in the fuselage space of an unmanned aerial vehicle is proposed. The approach is based on the use of a genetic algorithm. A meaningful and mathematical formulation of the problem of determining the optimal installation locations for on-board equipment in the fuselage space of an unmanned aerial vehicle is given. Criteria and restrictions have been developed. As optimization criteria, first of all, electromagnetic compatibility criteria are considered, which are characterized by minimizing the sensitivity of on-board equipment above the level of electromagnetic field strength at the installation sites of on-board equipment, as well as limiting the excess of the threshold level of susceptibility of on-board equipment over the electromagnetic environment resulting from electromagnetic influences or interactions. Additionally, criteria for minimizing the total weighted length of cable connections are considered, and the maximum load-carrying capacity of the fuselage compartments of an unmanned aerial vehicle is limited. The plan has been developed for the installation of on-board equipment in the fuselage space using a developed program that implements a genetic algorithm.

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Gainutdinov Rustam Rafkatovich
Candidate of Engineering Sciences
Email: emc-kai@mail.ru

WoS | Scopus | ORCID | eLibrary |

Kazan National Technical University named after A.N. Tupolev

Kazan, the Russian Federation

Chermoshentsev Sergey Fedorovich
Doctor of Engineering Sciences

ORCID |

Kazan National Technical University named after A.N. Tupolev

Kazan, the Russian Federation

Keywords: placement, optimization, on-board equipment, genetic algorithm, unmanned aerial vehicle

For citation: Gainutdinov R.R., Chermoshentsev S.F. Placing on-board equipment in the fuselage space of an unmanned aerial vehicle using a genetic algorithm. Modeling, Optimization and Information Technology. 2024;12(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1484 DOI: 10.26102/2310-6018/2024.44.1.021 (In Russ).

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Full text in PDF

Received 12.12.2023

Revised 22.01.2024

Accepted 12.03.2024

Published 31.03.2024