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Quantification of Uncertainties in Integrated Spacecraft System Models

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CF64P
Agency Tracking Number: 090074
Amount: $99,996.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T5.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-01-29
Award End Date (Contract End Date): 2011-01-28
Small Business Information
4020 Long Beach Blvd
Long Beach, CA 90807-2683
United States
DUNS: 133626544
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Tyler Winter
 Principal Investigator
 () -
 tyler.winter@m4-engineering.com
Business Contact
 Kevin Roughen
Title: Business Official
Phone: (562) 981-7797
Email: kevin.roughen@m4-engineering.com
Research Institution
 The Curators of the University of Missouri
 Not Available
 
300 W. 12th Street
Rolla, MO 65401
United States

 (573) 341-4134
 Domestic Nonprofit Research Organization
Abstract

The proposed effort is to investigate a novel uncertainty quantification (UQ) approach based on non-intrusive polynomial chaos (NIPC) for computationally efficient and accurate quantification of uncertainties in spacecraft system models within a multidisciplinary analysis and optimization (MAO) framework. The UQ approach will include the modeling of both inherent (probabilistic) and epistemic uncertainties and the propagation of these with NIPC. Comparisons between crude Monte-Carlo sampling will be made during validation of the approach. Software will be developed to implement the UQ approach in a generic way. With scalability in mind, this software will be utilized within a space system MAO framework containing many uncertain parameters. Also in Phase I, a simple graphical user interface will be created to implement the UQ approach. Both the software and UQ approach developed will be tested on a model spacecraft simulation problem with uncertainties. This proposed work will compliment M4 Engineering's expertise in developing modeling and simulation technologies that solve relevant demonstration applications. The researchers from Missouri S&T (RI) will guide the implementation of UQ methodology and contribute to the proposed effort with their experience and expertise in UQ in aerospace simulations.

* Information listed above is at the time of submission. *

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