Aircraft robust multidisciplinary design optimization methodology based on fuzzy preference function

查看全文 作　　者：Ali Reza [1]BABAEI;Mohammad Reza [1]SETAYANDEH;Hamid [1]FARROKHFAL

机构地区：[1]Department of Mechanical and Aerospace Engineering, Malek-Ashtar University of Technology

出　　处：《Chinese Journal of Aeronautics》索引2018年第31卷第12期,共12页

摘　　要：This paper presents a Fuzzy Preference Function-based Robust Multidisciplinary Design Optimization(FPF-RMDO) methodology. This method is an effective approach to multidisciplinary systems, which can be used to designer experiences during the design optimization process by fuzzy preference functions. In this study, two optimizations are done for Predator MQ-1 Unmanned Aerial Vehicle(UAV):(A) deterministic optimization and(B) robust optimization. In both problems, minimization of takeoff weight and drag is considered as objective functions, which have been optimized using Non-dominated Sorting Genetic Algorithm(NSGA). In the robust design optimization, cruise altitude and velocity are considered as uncertainties that are modeled by the Monte Carlo Simulation(MCS) method. Aerodynamics, stability and control, mass properties, performance, and center of gravity are used for multidisciplinary analysis. Robust design optimization results show 46% and 42% robustness improvement for takeoff weight and cruise drag relative to optimal design respectively. 关键词：Fuzzy logic MULTIDISCIPLINARY DESIGN optimization PREFERENCE FUNCTION ROBUST DESIGN Unmanned AERIAL Vehicle (UAV)

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Aircraft robust multidisciplinary design optimization methodology based on fuzzy preference function

参考文献(28)

引证文献(4)

耦合文献(23)

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