18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2017
DOI: 10.2514/6.2017-4151
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Development of a Multidisciplinary Design Optimization Framework Applied on UAV Design by Considering Models for Mission, Surveillance, and Stealth Performance

Abstract: Detta dokument hålls tillgängligt på Internet-eller dess framtida ersättare-från publiceringsdatum under förutsättning att inga extraordinära omständigheter uppstår. Tillgång till dokumentet innebär tillstånd för var och en att läsa, ladda ner, skriva ut enstaka kopior för enskilt bruk och att använda det oförändrat för ickekommersiell forskning och för undervisning. Överföring av upphovsrätten vid en senare tidpunkt kan inte upphäva detta tillstånd. All annan användning av dokumentet kräver upphovsmannens med… Show more

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Cited by 7 publications
(5 citation statements)
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“…Previous work, e.g., Elgh (2012) points to structuring knowledge in reusable containers as a fruitful way of supporting ETO quotation processes. Another way of supporting complex product development is through the use of multidisciplinary design analysis and optimization (MDAO), a technique for optimizing products while considering multiple inter-dependent models (see e.g., Papageorgiou and Ölvander, 2017;Simpson and Martins, 2011). Van Gent et al (2020) have argued that the promises of MDAO have yet not been fulfilled for complex products.…”
Section: Background and Framingmentioning
confidence: 99%
“…Previous work, e.g., Elgh (2012) points to structuring knowledge in reusable containers as a fruitful way of supporting ETO quotation processes. Another way of supporting complex product development is through the use of multidisciplinary design analysis and optimization (MDAO), a technique for optimizing products while considering multiple inter-dependent models (see e.g., Papageorgiou and Ölvander, 2017;Simpson and Martins, 2011). Van Gent et al (2020) have argued that the promises of MDAO have yet not been fulfilled for complex products.…”
Section: Background and Framingmentioning
confidence: 99%
“…Papageorgiou et al [17] developed a MDO framework applied to UAV design focusing on radar signature and sensor performance considering also flight trajectory. The optimization problem of the case-study considered was about improving the performance of the aircraft over a specified mission while simultaneously considering the efficiency of the stealth and surveillance systems.…”
Section: Bibliography Reviewmentioning
confidence: 99%
“…It is explicit the dependence between the mission requirements and the methodology adopted during the design process and the chosen optimization method. According to Martins and Lambe [5], there are many architectures available to solve the optimization problems, and they must be presented in diagrams, such as those found in Bryson et al [15], Hosseini et al [16] and Papageorgiou et al [17]. It is notorious that the disciplines related to airworthiness, like propulsion, mass, structures, aerodynamics and stability, receive more attention in an optimization framework than disciplines that are not in the field of aeronautics.…”
Section: Bibliography Reviewmentioning
confidence: 99%
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“…Persson and Bull [6] also proposed a method to measure and analyze the influence of flight dynamics on the radar cross-section model of an aircraft based on flight data from three different types of aircraft: Piper PA-28 Archer II, Boeing 737, and Saab JAS39 Gripen. Papageorgiou et al [7] proposed a Multidisciplinary Design Optimization (MDO) framework for the early design phase of Unmanned Aerial Vehicles (UAVs), focusing primarily on trade-offs between mission, stealth, and surveillance performance requirements for calculating radar cross-section (RCS) and sensor performance.…”
Section: Introductionmentioning
confidence: 99%