High-Fidelity Trajectory Optimization with Application to Saddle-Point Transfers

被引:9
|
作者
Dei Tos, Diogene A. [1 ]
Topputo, Francesco [1 ]
机构
[1] Polytech Univ Milan, Dept Aerosp Sci & Technol, I-20156 Milan, Italy
关键词
NEWTONIAN DYNAMICS; MOON TRANSFERS; EARTH; DESIGN; SYSTEM; COMPUTATION; NAVIGATION; ORBITS;
D O I
10.2514/1.G003838
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A method to optimize space trajectories subject to impulsive controls is presented. The method employs a high-fidelity model and a multiple-shooting technique. The model accounts for an arbitrary number of gravitational attractions, their corrections due to celestial bodies oblateness, and solar radiation pressure. The peculiarity of this paradigm is that the equations of motion are written in a rotopulsating frame, where two primaries are at rest despite the fact that their motion and the one of the perturbers are given by a real ephemeris model. Direct transcription of the dynamics coupled with a multiple-shooting technique and an efficient computation of the Jacobian of the defects are used to optimize trajectories subject to a finite number of impulsive controls. The method has been applied to find a multitude of solutions to the problem of transferring a spacecraft from the sun-Earth collinear Lagrange points to the sun-Earth gravitational saddle point, where a theoretical zero background acceleration allows testing possible deviations from general relativity. The problem of targeting the sun-Earth saddle point with high accuracy represents a major flight dynamics challenge. The applicative scenario encompasses the possible mission extension option for LISA Pathfinder as special case.
引用
收藏
页码:1343 / 1352
页数:10
相关论文
共 28 条
  • [1] Distributed Coordination for Nonsmooth Convex Optimization via Saddle-Point Dynamics
    Cortes, Jorge
    Niederlaender, Simon K.
    JOURNAL OF NONLINEAR SCIENCE, 2019, 29 (04) : 1247 - 1272
  • [2] Application of Low- and High-Fidelity Simulation Tools to Helicopter Rotor Blade Optimization
    Collins, Kyle B.
    Sankar, Lakshmi N.
    Mavris, Dimitri N.
    JOURNAL OF THE AMERICAN HELICOPTER SOCIETY, 2013, 58 (04)
  • [3] Satellite Multidisciplinary Design Optimization with a High-Fidelity Model
    Wu, Wenrui
    Huang, Hai
    Chen, Shenyan
    Wu, Beibei
    JOURNAL OF SPACECRAFT AND ROCKETS, 2013, 50 (02) : 463 - 466
  • [4] High-Fidelity Aerostructural Optimization with a Geometrically Nonlinear Flutter Constraint
    Gray, Alasdair C.
    Riso, Cristina
    Jonsson, Eirikur
    Martins, Joaquim R. R. A.
    Cesnik, Carlos E. S.
    AIAA JOURNAL, 2023, 61 (06) : 2430 - 2443
  • [5] Gradient-enhanced stochastic optimization of high-fidelity simulations
    Rodriguez, Alejandro Quiros
    de Pando, Miguel Fosas
    Sayadi, Taraneh
    COMPUTER PHYSICS COMMUNICATIONS, 2024, 298
  • [6] Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives
    March, Andrew
    Willcox, Karen
    AIAA JOURNAL, 2012, 50 (05) : 1079 - 1089
  • [7] High-fidelity aerostructural optimization of tow-steered composite wings
    Brooks, Timothy R.
    Martins, Joaquim R. R. A.
    Kennedy, Graeme J.
    JOURNAL OF FLUIDS AND STRUCTURES, 2019, 88 : 122 - 147
  • [8] High-Fidelity Hydrodynamic Shape Optimization of a 3-D Hydrofoil
    Garg, Nitin
    Kenway, Gaetan K. W.
    Lyu, Zhoujie
    Martins, Joaquim R. R. A.
    Young, Yin L.
    JOURNAL OF SHIP RESEARCH, 2015, 59 (04): : 209 - 226
  • [9] Computational framework for efficient high-fidelity optimization of bio-inspired propulsion and its application to accelerating swimmers
    Abouhussein, Ahmed
    Peet, Yulia T.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 482
  • [10] High-fidelity source mask optimization for suppressing line-end shortening
    Zhang, Zhiwei
    Yuan, Miao
    Li, Zhaoxuan
    Huang, Weichen
    Yang, He
    Li, Zhen
    Li, Yanqiu
    APPLIED OPTICS, 2024, 63 (02) : 327 - 337