Lessons learned from multiple fidelity modeling of ground interferometer testbeds

被引:0
|
作者
Joshi, SS [1 ]
Neat, GW [1 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
来源
关键词
interferometer; MPI; modeling; IMOS;
D O I
10.1117/12.317188
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The MicroPrecision Interferometer Testbed (MPI) at JPL is a dynamically and dimensionally representative hardware model of a future spaceborne optical interferometer.(1) Over the past few years, several models of MPI have been created. These include detailed, high-fidelity models of MPI and several lower-fidelity models. These models were meant to answer two basic questions: (1) "Does current modeling methodology allow accurate models of highly complex opto-mechanical systems such as the MPI testbed?" and (2) "Given a valid modeling methodology, how much model fidelity is needed in models to accurately predict performance?". In order to answer these questions, four models of the MPI testbed were created; each with a unique optical and structural model fidelity. This paper reviews results obtained from these models. It compares disturbance transfer function predictions from three of the models with measured disturbance transfer functions from the hardware testbed. (The fourth model, not discussed here, quantifies the effects of model-updating using both modal and in-situ component testing.) Results suggest that it is possible to build a highly accurate high-fidelity model, thus validating the modeling methodology. With lower fidelity models, meaningful model prediction errors exist when simple models are used to represent the complex opto-mechanical system. However, modest increases in model fidelity can lead to significant improvement.
引用
下载
收藏
页码:128 / 138
页数:11
相关论文
共 50 条
  • [41] Lessons Learned from Rehabilitation of Multiple 150-in. Diameter Siphons
    Parks, Randall
    Spencer, Joel
    Shaw, Landon
    PIPELINES 2021: CONSTRUCTION AND REHABILITATION, 2021, : 123 - 133
  • [42] PLA ground forces lessons learned: Experience and theory
    Blasko, DJ
    LESSONS OF HISTORY: THE CHINESE PEOPLE'S LIBERATION ARMY AT 75, 2003, : 61 - 87
  • [43] Pitfalls in Aeromedical and Ground Crew Engagement: Lessons Learned
    Schwartz, Dagan
    Marmor, Meir T.
    Geftler, Alex
    Barenboim, Erez
    MILITARY MEDICINE, 2008, 173 (10) : 1004 - 1007
  • [44] Lessons Learned from Source Rupture to Strong Ground Motion Simulations: An Example from Taiwan
    Lee, Shiann-Jong
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2017, 107 (05) : 2106 - 2116
  • [45] Lessons learned and not learned from the SUPPORT project
    Teno, JM
    PALLIATIVE MEDICINE, 1999, 13 (02) : 91 - 93
  • [46] OIL-SPILL MODELING - LESSONS TO BE LEARNED
    HARTMANN, T
    MARINE POLLUTION BULLETIN, 1987, 18 (02) : 58 - 59
  • [47] Lessons learned in modeling virtual pediatric patients
    Hubal, RC
    Deterding, RR
    Frank, GA
    Schwetzke, HF
    Kizakevich, PN
    MEDICINE MEETS VIRTUAL REALITY 11: NEXTMED: HEALTH HORIZON, 2003, 94 : 127 - 130
  • [48] Collaborative simulation modeling: Experiences and lessons learned
    Maghnouji, R.
    De Vreede, G.
    Verbraeck, A.
    Sol, H.
    Proceedings of the Hawaii International Conference on System Sciences, 2001,
  • [49] Lessons learned across a decade of knowledge modeling
    Hoffman, Robert
    Beach, Jameson
    JOURNAL FOR EDUCATORS TEACHERS AND TRAINERS, 2013, 4 (01): : 86 - 95
  • [50] Bringing fidelity monitoring to child welfare: lessons learned from the CORE Teen resource parent training
    Vanderwill, Lori A.
    Day, Angelique
    Feltner Williams, Alanna
    Cohick, Sue
    Henneman, Kris
    JOURNAL OF PUBLIC CHILD WELFARE, 2022, 16 (02) : 197 - 218