Keywords: placement, optimization, on-board equipment, genetic algorithm, unmanned aerial vehicle
Placing on-board equipment in the fuselage space of an unmanned aerial vehicle using a genetic algorithm
UDC 681.396.6.049.77
DOI: 10.26102/2310-6018/2024.44.1.021
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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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).
Received 12.12.2023
Revised 22.01.2024
Accepted 12.03.2024
Published 31.03.2024