A unified and experimentally validated design framework for long-endurance solar UAVS using model-based multi-objective multidisciplinary optimization

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dc.authoridasadi, davood/0000-0002-2066-6016
dc.contributor.authorKhaneghaei, Mohammad
dc.contributor.authorAsadi, Davood
dc.contributor.authorEbrahimi, Benyamin
dc.contributor.authorHazeri, Majid
dc.contributor.authorFarsadi, Touraj
dc.contributor.authorNabavi Chashmi, Yaser
dc.contributor.authorDurhasan, Tahir
dc.date.accessioned2026-02-27T07:33:31Z
dc.date.available2026-02-27T07:33:31Z
dc.date.issued2025
dc.description.abstractDesigning long-endurance, solar-powered unmanned aerial vehicles (UAVs) requires careful coordination across aerodynamic, structural, and energy subsystems, particularly when targeting flexible, high-aspect-ratio configurations. This paper presents a mission-driven design and optimization framework for solar-powered long-endurance UAVs, tailored to post-disaster urban surveillance scenarios. A modular, multidisciplinary approach is adopted to account for the coupled effects of structural deformation and solar energy availability, both of which critically affect flight endurance. A key feature of the framework is the simultaneous integration of aeroelastic constraints and a time-dependent solar power and battery model, capturing realistic energy generation and storage behavior over diurnal cycles. This energy model is experimentally validated using a custom-built testbed and incorporated directly into the design loop. The framework is implemented using a Multidisciplinary Design Optimization (MDO) architecture that employs a coupling strategy to effectively manage interdependencies among subsystems. A comprehensive sensitivity analysis using Latin Hypercube Sampling highlights key performance-driving parameters. The final UAV design is fabricated and flight-tested, demonstrating the satisfaction of mission-level requirements derived from a simulated post-earthquake damage assessment in Adana, T & uuml;rkiye. Battery state-of-charge, trajectory, and attitude data collected during flight tests demonstrate that the UAV operates in accordance with design predictions, despite environmental variability. The study highlights how the integration of validated subsystem models within an established optimization process can lead to reliable, application-specific solar UAV designs suitable for real-world deployment.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TBIdot;TAK) [223M312]
dc.description.sponsorshipThis research is supported by the Scientific and Technological Research Council of Turkey (TUB & Idot;TAK) under the 1001 program, with project number [223M312].
dc.identifier.doi10.1007/s00158-025-04194-6
dc.identifier.issn1615-147X
dc.identifier.issn1615-1488
dc.identifier.issue1
dc.identifier.urihttp://dx.doi.org/10.1007/s00158-025-04194-6
dc.identifier.urihttps://hdl.handle.net/20.500.14669/4624
dc.identifier.volume69
dc.identifier.wosWOS:001631463600001
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofStructural and Multidisciplinary Optimization
dc.relation.publicationcategoryMakale - Uluslararas� Hakemli Dergi - Kurum ��retim Eleman�
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20260302
dc.subjectSolar-powered UAV
dc.subjectMulti-objective multidisciplinary design optimization (MMDO)
dc.subjectAeroelastic analysis
dc.subjectTime-dependent energy modeling
dc.subjectPost-disaster surveillance
dc.subjectLong-endurance flight
dc.titleA unified and experimentally validated design framework for long-endurance solar UAVS using model-based multi-objective multidisciplinary optimization
dc.typeArticle

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