Situational-Command Motion Control of an Autonomous Unmanned Aerial Vehicle Searching for Forest Fires in an Unstable Air Environment

Abstract: The major problems associated with the rapid detection of forest fire and smoke are considered based on the use of autonomous unmanned aerial vehicles for flying over and surveying certain areas. A method of searching for forest fires through a locally optimal flight route under conditions of uncertainty has been developed. We propose original provisions of fuzzy sets, which allow an autonomous unmanned aerial vehicle to build an effective information-analytical model of situational-command control for moving along a route obtained in real time. A model of knowledge representation and processing has been developed that allows the automatic synthesis of logical-transformational rules for situational-command motion control of the aircraft’s motion. It is shown that the proposed principle of building an information-analytical model makes it possible to reduce the complexity of selecting effective commands by significantly reducing the number of comparisons of the current situation with reference situations in the process of deriving solutions. © Allerton Press, Inc. 2023. ISSN 0147-6882, Scientific and Technical Information Processing, 2023, Vol. 50, No. 5, pp. 449–458. Allerton Press, Inc., 2023. Russian Text The Author(s), 2022, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2022, No. 4, pp. 112–124.

Авторы
Melekhin V.B. , Khachumov M.V.
Номер выпуска
5
Язык
Английский
Страницы
449-458
Статус
Опубликовано
Том
50
Год
2023
Организации
  • 1 Dagestan State Technical University, Makhachkala, Russian Federation
  • 2 Ailamazyan Program Systems Institute of Russian Academy of Sciences, Yaroslavl oblast, Veskovo, Russian Federation
  • 3 Federal Research Center “Computer Science and Control,” Russian Academy of Sciences, Moscow, Russian Federation
  • 4 Peoples’ Friendship University of Russia, Moscow, Russian Federation
Ключевые слова
autonomous unmanned aerial vehicle; flight route; forest fire monitoring; situational-command motion control; unstable air environment
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Podgaetskii K.A., Lobintsov A.V., Danilov A.I., Ivanov A.V., Ladugin M.A., Marmalyuk A.A., Kuznetsov E.V., Dyudelev V.V., Mikhailov D.A., Chistyakov D.V., Babichev A.V., Kognovitskaya E.A., Lyutetskii A.V., Slipchenko S.O., Pikhtin N.A., Gladyshev A.G., Novikov I.I., Karachinsky L., Egorov A., Sokolovskii G.S.
Bulletin of the Lebedev Physics Institute. Allerton Press Incorporation. Том 50. 2023. С. S1356-S1360