Multiobjective Optimization of a Highly Maneuverable Supersonic Airfoil Using Multifidelity EGO

被引:0
|
作者
Watanabe, Tomotaka [1 ]
Yonemoto, Koichi [1 ]
Fujikawa, Takahiro [1 ]
Yamazaki, Ayaka [1 ]
机构
[1] Tokyo Univ Sci, 2641 Yamazaki, Noda, Japan
关键词
Supersonic airfoil; Aerodynamic optimization; Multiobjective optimization; Multifidelity optimization; Evolutionary algorithm;
D O I
10.1007/978-981-19-2689-1_25
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In supersonic flight regimes, maneuverability reduces owing to the retreat of the aerodynamic center. This paper describes an optimization that objective is the shift forward of the aerodynamic center to solve the maneuverability problem. For this optimization, multifidelity efficient global optimization (EGO) was used, which is an extension of EGO that uses a surrogate model for an efficient search and allows using two different evaluation functions with different fidelities. B-spline curves, which allow for a flexible airfoil shape, were used to generate the airfoil shape. We could determine the type of the airfoil shape that would move the aerodynamic center forward from the pressure distribution and control points of the B-spline curve based on the optimization results. Therefore, we succeeded in finding the geometric features that determine the tradeoff between the aerodynamic center position and lift drag ratio. The contribution of the geometry of the airfoil to the aerodynamic center is discussed herein.
引用
收藏
页码:339 / 351
页数:13
相关论文
共 50 条
  • [21] Multifidelity Comparison of Supersonic Wave Drag Prediction Methods Using Axisymmetric Bodies
    Abraham, Troy
    Lazzara, David
    Hunsaker, Douglas
    AEROSPACE, 2024, 11 (05)
  • [22] Robust Design Optimization of Supersonic Biplane Airfoil Using Efficient Uncertainty Analysis Method for Discontinuous Problem
    Hanazaki, Kyohei
    Yamazaki, Wataru
    AEROSPACE, 2024, 11 (01)
  • [23] Effectively using multifidelity optimization for wind turbine design
    Jasa, John
    Bortolotti, Pietro
    Zalkind, Daniel
    Barter, Garrett
    WIND ENERGY SCIENCE, 2022, 7 (03) : 991 - 1006
  • [24] Inverse and direct airfoil design using a multiobjective genetic algorithm
    Vicini, A
    Quagliarella, D
    AIAA JOURNAL, 1997, 35 (09) : 1499 - 1505
  • [25] Airfoil shape optimization using improved Multiobjective Territorial Particle Swarm algorithm with the objective of improving stall characteristics
    Amir Nejat
    Pooya Mirzabeygi
    Masoud Shariat Panahi
    Structural and Multidisciplinary Optimization, 2014, 49 : 953 - 967
  • [26] Airfoil shape optimization using improved Multiobjective Territorial Particle Swarm algorithm with the objective of improving stall characteristics
    Nejat, Amir
    Mirzabeygi, Pooya
    Panahi, Masoud Shariat
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2014, 49 (06) : 953 - 967
  • [27] Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm
    He, Yilei
    Agarwal, Ramesh K.
    INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING, 2014, 2014
  • [28] Supersonic Airfoil Shape Optimization by Variable-Fidelity Models and Manifold Mapping
    Siegler, Jacob
    Ren, Jie
    Leifsson, Leifur
    Koziel, Slawomir
    Bekasiewicz, Adrian
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE 2016 (ICCS 2016), 2016, 80 : 1103 - 1113
  • [29] Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization
    Li, Xiangtao
    Wong, Ka-Chun
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2018, 22 (05) : 1619 - 1629
  • [30] Supersonic and transonic airfoil optimization design based on superimposing thickness on suction surface
    Liu S.
    Geng S.
    Jin Y.
    Li X.
    Zhang H.
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2024, 39 (05):