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Proceedings Paper

Integrated modeling environment for systems-level performance analysis of the Next-Generation Space Telescope
Author(s): Gary E. Mosier; Michael Femiano; Kong Ha; Pierre Y. Bely; Richard Burg; David C. Redding; Andrew Kissil; John M. Rakoczy; Lawrence Donald Craig
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Paper Abstract

All current concepts for the NGST are innovative designs which present unique systems-level challenges. The goals are to outperform existing observatories at a fraction of the current price/performance ratio. Standard practices for developing systems error budgets, such as the 'root-sum-of- squares' error tree, are insufficient for designs of this complexity. Simulation and optimization are the tools needed for this project; in particular tools that integrate controls, optics, thermal and structural analysis, and design optimization. This paper describes such an environment which allows sub-system performance specifications to be analyzed parametrically, and includes optimizing metrics that capture the science requirements. The resulting systems-level design trades are greatly facilitated, and significant cost savings can be realized. This modeling environment, built around a tightly integrated combination of commercial off-the-shelf and in-house- developed codes, provides the foundation for linear and non- linear analysis on both the time and frequency-domains, statistical analysis, and design optimization. It features an interactive user interface and integrated graphics that allow highly-effective, real-time work to be done by multidisciplinary design teams. For the NGST, it has been applied to issues such as pointing control, dynamic isolation of spacecraft disturbances, wavefront sensing and control, on-orbit thermal stability of the optics, and development of systems-level error budgets. In this paper, results are presented from parametric trade studies that assess requirements for pointing control, structural dynamics, reaction wheel dynamic disturbances, and vibration isolation. These studies attempt to define requirements bounds such that the resulting design is optimized at the systems level, without attempting to optimize each subsystem individually. The performance metrics are defined in terms of image quality, specifically centroiding error and RMS wavefront error, which directly links to science requirements.

Paper Details

Date Published: 28 August 1998
PDF: 9 pages
Proc. SPIE 3356, Space Telescopes and Instruments V, (28 August 1998); doi: 10.1117/12.324524
Show Author Affiliations
Gary E. Mosier, NASA Goddard Space Flight Ctr. (United States)
Michael Femiano, NASA Goddard Space Flight Ctr. (United States)
Kong Ha, NASA Goddard Space Flight Ctr. (United States)
Pierre Y. Bely, Space Telescope Science Institute (United States)
Richard Burg, Johns Hopkins Univ. (United States)
David C. Redding, Jet Propulsion Lab. (United States)
Andrew Kissil, Jet Propulsion Lab. (United States)
John M. Rakoczy, NASA Marshall Space Flight Ctr. (United States)
Lawrence Donald Craig, NASA Marshall Space Flight Ctr. (United States)

Published in SPIE Proceedings Vol. 3356:
Space Telescopes and Instruments V
Pierre Y. Bely; James B. Breckinridge, Editor(s)

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