
Proceedings Paper
Multiconfiguration model tuning for precision optomechanical systemsFormat | Member Price | Non-Member Price |
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Paper Abstract
High quality multi-disciplinary integrated models are needed for
complex opto-mechanical spacecraft such as SIM and TPF in order to
predict the system's on-orbit behavior. One major activity in
early design is to examine the system's behavior over multiple
configurations using an integrated model. A three step procedure
for model tuning is outlined that consists of (1) applying
engineering insight to the model so that all physical systems are
present in the model, (2) using optimization to automatically
update system parameters that are uncertain in the model, and (3)
evaluating the model at several configurations using the updated
parameters. The key contribution of this work is the systematic
checking of the validity of the updated parameters by evaluating,
both in the model and the experiment, the system at different
configurations (step three). It is hypothesized that if the
simulation model and experimental data of the additional
configurations match well then the tuned system parameters were
indeed updated in a way that physically represents the system.
This three step process is applied to a testbed at the MIT Space
System Laboratory.
Paper Details
Date Published: 16 September 2004
PDF: 13 pages
Proc. SPIE 5497, Modeling and Systems Engineering for Astronomy, (16 September 2004); doi: 10.1117/12.551436
Published in SPIE Proceedings Vol. 5497:
Modeling and Systems Engineering for Astronomy
Simon C. Craig; Martin J. Cullum, Editor(s)
PDF: 13 pages
Proc. SPIE 5497, Modeling and Systems Engineering for Astronomy, (16 September 2004); doi: 10.1117/12.551436
Show Author Affiliations
Deborah J. Howell, Massachusetts Institute of Technology (United States)
Olivier de Weck, Massachusetts Institute of Technology (United States)
Olivier de Weck, Massachusetts Institute of Technology (United States)
Carl Blaurock, Mide Technology Corp. (United States)
Published in SPIE Proceedings Vol. 5497:
Modeling and Systems Engineering for Astronomy
Simon C. Craig; Martin J. Cullum, Editor(s)
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