The aerodynamic force estimation of a swept-wing UAV using ANFIS based on metaheuristic algorithms

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dc.contributor.authorUzun, M.
dc.contributor.authorBilgic, H. H.
dc.contributor.authorCopur, E. H.
dc.contributor.authorCoban, S.
dc.date.accessioned2024-02-23T14:16:31Z
dc.date.available2024-02-23T14:16:31Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractIn this paper, a new approach to modeling and controlling the problems associated with a morphing unmanned aerial vehicle (UAV) is proposed. Within the scope of the study, a dataset was created by obtaining a wide range of aerodynamic parameters for the UAV with Ansys Fluent under variable conditions using the computational fluid dynamics approach. For this, a large dataset was created that considered 5 different angles of attack, 14 different swept angles, and 5 different velocities. While creating the dataset, the analyses were verified by considering studies that have been experimentally validated in the literature. Then, an artificial intelligence-based model was created using the dataset obtained. Metaheuristic algorithms such as the artificial bee colony algorithm, ant colony algorithm and genetic algorithms are used to increase the modeling success of the adaptive neuro-fuzzy inference system (ANFIS) approach. A novel modeling approach is proposed that constitutes a new decision support system for real-time flight. According to the results obtained, all the ANFIS models based on metaheuristic algorithms were more successful than the traditional approach, the multilinear regression model. The swept angle that meets the minimum lift needed by the UAV for different flight conditions was estimated with the help of the designed decision support system. Thus, the drag force is minimised while obtaining the required lift force. The performance of the UAV was compared with the nonmorphing configuration, and the results are presented in tables and graphs.en_US
dc.identifier.doi10.1017/aer.2023.73
dc.identifier.issn0001-9240
dc.identifier.issn2059-6464
dc.identifier.scopus2-s2.0-85169548254en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1017/aer.2023.73
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12700
dc.identifier.wosWOS:001080349600001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCambridge Univ Pressen_US
dc.relation.ispartofAeronautical Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAerodynamic Forceen_US
dc.subjectAnfisen_US
dc.subjectMetaheuristic Algorithmen_US
dc.subjectMorphingen_US
dc.subjectPredictionen_US
dc.subjectSwept Wing Uaven_US
dc.titleThe aerodynamic force estimation of a swept-wing UAV using ANFIS based on metaheuristic algorithmsen_US
dc.typeArticleen_US

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