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Proceedings Paper

Statistical approach to systems engineering for the Thirty Meter Telescope
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Paper Abstract

Core components of systems engineering are the proper understanding of the top level system requirements, their allocation to the subsystems, and then the verification of the system built against these requirements. System performance, ultimately relevant to all three of these components, is inherently a statistical variable, depending on random processes influencing even the otherwise deterministic components of performance, through their input conditions. The paper outlines the Stochastic Framework facilitating both the definition and estimate of system performance in a consistent way. The environmental constraints at the site of the observatory are significant design drivers and can be derived from the Stochastic Framework, as well. The paper explains the control architecture capable of achieving the overall system performance as well as its allocation to subsystems. An accounting for the error and disturbance sources, as well as their dependence on environmental and operational parameters is included. The most current simulations results validating the architecture and providing early verification of the preliminary TMT design are also summarized.

Paper Details

Date Published: 4 August 2010
PDF: 12 pages
Proc. SPIE 7738, Modeling, Systems Engineering, and Project Management for Astronomy IV, 773817 (4 August 2010); doi: 10.1117/12.858245
Show Author Affiliations
George Z. Angeli, Thirty Meter Telescope (United States)
Konstantinos Vogiatzis, Thirty Meter Telescope (United States)

Published in SPIE Proceedings Vol. 7738:
Modeling, Systems Engineering, and Project Management for Astronomy IV
George Z. Angeli; Philippe Dierickx, Editor(s)

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