Software Environment for Mission Design, Simulation, and Engineering Data Management

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,756.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
NNX09CC33P
Award Id:
90533
Agency Tracking Number:
084942
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1715 Pratt Drive, Suite 2000, Blacksburg, VA, 24060
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
938911427
Principal Investigator:
Scott Ragon
Principal Investigator
(540) 961-7215
sragon@phoenix-int.com
Business Contact:
Scott Ragon
Director, Research
(540) 961-7215
sragon@phoenix-int.com
Research Institute:
n/a
Abstract
As NASA designs and develops the next generation of scientific and space exploration vehicles and missions, there is a growing need for a robust, flexible, and easy-to-use software framework that NASA engineers can use to rapidly analyze, design, simulate, and evaluate competing vehicle and mission concepts. This need is particularly acute for small satellite design missions (such as Low-Cost Small Spacecraft and Technologies Missions) and other missions with small budgets and cost margins. In this project, Phoenix Integration will develop a software framework for flexibly meeting these needs. Working within the framework, NASA engineers will be able to flexibly assemble mission simulation models by choosing components from a custom library of reusable analysis modules. Once the system models are created, the framework will be capable of automatically executing these models, seamlessly transferring data from analysis to analysis as required. Mechanisms will be provided in the user interface that will allow engineers to archive important models, designs, data, and meta-data in an "Analysis Library" during the design process. This Analysis Library will be fully indexed and searchable, and will serve as a central information repository for facilitating communication and collaboration between team members, preserving important models, data, and knowledge for future reuse, and helping to capture design knowledge and document the decision making process.

* information listed above is at the time of submission.

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