COMBINING SIMULATION TOOLS FOR END-TO-END TRAJECTORY OPTIMIZATION

被引:0
|
作者
Whitley, Ryan [1 ]
Gutkowski, Jeffrey [2 ]
Craig, Scott [3 ]
Dawn, Tim [3 ]
Williams, Jacob [4 ]
Ocampo, Cesar [5 ,6 ]
Stein, William B. [7 ]
Litton, Daniel [8 ]
Lugo, Rafael [9 ]
Qu, Min [8 ]
机构
[1] NASA JSC, Explorat Mission Planning Off, Houston, TX 77058 USA
[2] NASA JSC, Flight Mech & Trajectory Design Branch, Houston, TX 77058 USA
[3] ERC Inc, NASA MSFC, Jacobs ESSSA Grp, Huntsville, AL 35812 USA
[4] ERC Inc, Houston, TX 77058 USA
[5] Univ Sergio Arboleda, Engn, Bogota, Colombia
[6] Colombia & Odyssey Space Res LLC, Houston, TX 77058 USA
[7] NASA MSFC, Jacobs Technol, Jacobs ESSSA Grp, Huntsville, AL 35812 USA
[8] NASA LaRC, Atmospher Flight & Syst Branch, Hampton, VA 23681 USA
[9] Analyt Mech Associates, 21 Enterprise Pkwy,Suite 300, Hampton, VA 23666 USA
来源
ASTRODYNAMICS 2015 | 2016年 / 156卷
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Trajectory simulations with advanced optimization algorithms are invaluable tools in the process of designing spacecraft. Due to the need for complex models, simulations are often highly tailored to the needs of the particular program or mission. NASA's Orion and SLS programs are no exception. While independent analyses are valuable to assess individual spacecraft capabilities, a complete end-to-end trajectory from launch to splashdown maximizes potential performance and ensures a continuous solution. In order to obtain end-to-end capability, Orion's in-space tool (Copernicus) was made to interface directly with the SLS's ascent tool (POST2) and a new tool to optimize the full problem by operating both simulations simultaneously was born.
引用
收藏
页码:2811 / 2826
页数:16
相关论文
共 50 条
  • [1] A Robust Method to Integrate End-to-End Mission Architecture Optimization Tools
    Lugo, Rafael
    Litton, Daniel
    Qu, Min
    Shidner, Jeremy
    Powell, Richard
    [J]. 2016 IEEE AEROSPACE CONFERENCE, 2016,
  • [2] End-to-end simulation: The front end
    Haber, I
    Bieniosek, FM'
    Celata, BM
    Friedman, A
    Grote, DP
    Henestroza, E
    Vay, JL
    Bernal, S
    Kishek, RA
    O'Shea, PG
    Reiser, M
    Herrmannsfeldt, WB
    [J]. LASER AND PARTICLE BEAMS, 2002, 20 (03) : 431 - 433
  • [3] RADIOMETER END-TO-END SIMULATION
    SCHUELER, CF
    THORNE, KA
    [J]. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1982, 345 : 102 - 110
  • [4] An end-to-end trajectory description of the LISA mission
    Sweetser, TH
    [J]. CLASSICAL AND QUANTUM GRAVITY, 2005, 22 (10) : S429 - S435
  • [5] Optimization of Trajectory Approach in End-to-End Delay Analysis Considering the Flow Offsets Scheduling
    Liu, SiHuan
    He, Feng
    Wang, Tong
    Li, YaHui
    [J]. PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 3614 - 3620
  • [6] End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
    Nasim, Md
    Zhang, Xinghang
    El-Azab, Anter
    Xue, Yexiang
    [J]. THIRTY-EIGTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 21, 2024, : 23005 - 23011
  • [7] End-to-End Optimization of Scene Layout
    Luo, Andrew
    Zhang, Zhoutong
    Wu, Jiajun
    Tenenbaum, Joshua B.
    [J]. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020, : 3753 - 3762
  • [8] End-to-end performance simulation and validation
    Belmont, J
    Piau, P
    [J]. ALCATEL TELECOMMUNICATIONS REVIEW, 2001, (04): : 307 - 312
  • [9] LIGO end-to-end simulation program
    Bhawal, B
    Cella, G
    Evans, M
    Klimenko, S
    Maros, E
    Mohanty, SD
    Rakhmanov, M
    Savage, RL
    Yamamoto, H
    [J]. GRAVITATIONAL WAVES, 2000, 523 : 469 - 470
  • [10] InSAR end-to-end simulation environment
    Farhat, M
    Lauzon, F
    Trudeau, A
    Fiset, R
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1480 - 1482