Conceptual Design of a Novel Autonomous Water Sampling Wing-in-Ground-Effect (WIGE) UAV and Trajectory Tracking Performance Optimization for Obstacle Avoidance

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dc.authoridEraslan, Yuksel/0000-0002-5158-5171
dc.contributor.authorEraslan, Yueksel
dc.date.accessioned2025-03-17T12:25:16Z
dc.date.available2025-03-17T12:25:16Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractAs a fundamental part of water management, water sampling treatments have recently been integrated into unmanned aerial vehicle (UAV) technologies and offer eco-friendly, cost-effective, and time-saving solutions while reducing the necessity for qualified staff. However, the majority of applications have been conducted with rotary-wing configurations, which lack range and sampling capacity (i.e., payload), leading scientists to search for alternative designs or special configurations to enable more comprehensive water assessments. Hence, in this paper, the conceptual design of a novel long-range and high-capacity WIGE UAV capable of autonomous water sampling is presented in detail. The design process included a vortex lattice solver for aerodynamic investigations, while analytical and empirical methods were used for weight and dimensional estimations. Since the mission involved operation inside maritime traffic, potential obstacle avoidance scenarios were discussed in terms of operational safety, and the aim was for autonomous trajectory tracking performance to be improved by means of a stochastic optimization algorithm. For this purpose, an artificial intelligence-integrated concurrent engineering approach was applied for autonomous control system design and flight altitude determination, simultaneously. During the optimization, the stability and control derivatives of the constituted longitudinal and lateral aircraft dynamic models were predicted via a trained artificial neural network (ANN). The optimization results exhibited an aerodynamic performance enhancement of 3.92%, and a remarkable improvement in trajectory tracking performance for both the fly-over and maneuver obstacle avoidance modes, by 89.9% and 19.66%, respectively.
dc.identifier.doi10.3390/drones8120780
dc.identifier.issn2504-446X
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85213078190
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/drones8120780
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1592
dc.identifier.volume8
dc.identifier.wosWOS:001384933700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorEraslan, Yueksel
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofDrones
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectwater sampling
dc.subjectwing-in-ground-effect UAV
dc.subjectconceptual design
dc.subjectobstacle avoidance
dc.subjecttrajectory tracking performance
dc.subjectoptimization
dc.titleConceptual Design of a Novel Autonomous Water Sampling Wing-in-Ground-Effect (WIGE) UAV and Trajectory Tracking Performance Optimization for Obstacle Avoidance
dc.typeArticle

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