Analytical Sensitivity Analysis of an Unsteady Vortex-Lattice Method for Flapping-Wing Optimization

被引:88
|
作者
Stanford, Bret K. [1 ]
Beran, Philip S. [1 ]
机构
[1] USAF, Res Lab, Air Vehicles Directorate, Wright Patterson AFB, OH 45433 USA
来源
JOURNAL OF AIRCRAFT | 2010年 / 47卷 / 02期
关键词
MICRO AIR VEHICLES; SPANWISE FLEXIBILITY; STRUCTURAL DESIGN; FLEXIBLE WINGS; AERODYNAMICS; FLIGHT; KINEMATICS; AIRFOIL; MOTION;
D O I
10.2514/1.46259
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This work considers the design optimization of a flapping wing in forward flight with active shape morphing, aimed at maximizing propulsive efficiency under lift and thrust constraints. This is done with an inviscid three-dimensional unsteady vortex-lattice method, for which the moderate level of fidelity is offset by a relatively inexpensive computational cost. The design is performed with a gradient-based optimization, where gradients are computed with an analytical sensitivity analysis. Wake terms provide the only connection between the forces generated at disparate time steps and must be included to compute the derivative of the aerodynamic state at a time step with respect to the wing shape at all previous steps. The cyclic wing morphing, superimposed upon the flapping motions, is defined by a series of spatial and temporal approximations. The generalized coordinates of a finite number of twisting and bending modes are approximated by cubic splines. The amplitudes at the control points provide design variables; increasing,the number of variables (providing the wing morphing with a greater degree of spatial and temporal freedom) is seen to provide increasingly superior designs, with little increase in computational cost.
引用
收藏
页码:647 / 662
页数:16
相关论文
共 50 条
  • [11] Optimization design and analysis of the flapping-wing robotic aircraft
    Zhao, Chun
    Zhong, Jun
    Wang, Chao
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT CONTROL AND ARTIFICIAL INTELLIGENCE (RICAI 2019), 2019, : 514 - 518
  • [12] Analysis and Optimization of Flapping-Wing Mechanism Based on Genetic Algorithm
    Ling, Yunyu
    Liu, Benyou
    Zhang, Hongxin
    Bo, Lan
    Liu, Mingjie
    MACHINES, 2025, 13 (03)
  • [13] Parametric Reduced-Order Modeling of the Unsteady Vortex-Lattice Method
    Maraniello, Salvatore
    Palacios, Rafael
    AIAA JOURNAL, 2020, 58 (05) : 2206 - 2220
  • [14] Optimization Design of Flapping Mechanism and Wings for Flapping-Wing MAVs
    Liu, Lan
    Fang, Zongde
    He, Zhaoxia
    INTELLIGENT ROBOTICS AND APPLICATIONS, PT I, PROCEEDINGS, 2008, 5314 : 245 - 255
  • [15] A wing characterization method for flapping-wing robotic insects
    Desbiens, Alexis Lussier
    Chen, Yufeng
    Wood, Robert J.
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 1367 - 1373
  • [16] A non-linear unsteady vortex-lattice method for rotorcraft applications
    Cocco, A.
    Savino, A.
    Colli, A.
    Masarati, P.
    Zanotti, A.
    AERONAUTICAL JOURNAL, 2024, 128 (1328): : 2308 - 2330
  • [17] Optimization of Flexible Flapping-Wing Kinematics in Hover
    Gogulapati, A.
    Friedmann, P. P.
    Martins, J. R. R. A.
    AIAA JOURNAL, 2014, 52 (10) : 2342 - 2354
  • [18] Applications of the unsteady vortex-lattice method in aircraft aeroelasticity and flight dynamics
    Murua, Joseba
    Palacios, Rafael
    Graham, J. Michael R.
    PROGRESS IN AEROSPACE SCIENCES, 2012, 55 : 46 - 72
  • [19] A non-linear unsteady vortex-lattice method for rotorcraft applications
    Zanotti, A. (alex.zanotti@polimi.it), 1600, Cambridge University Press
  • [20] Geometrically nonlinear flutter analysis with corotational shell finite element analysis and unsteady vortex-lattice method
    Tsushima, Natsuki
    Arizono, Hitoshi
    Tamayama, Masato
    JOURNAL OF SOUND AND VIBRATION, 2022, 520