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Distributed Multi-Agent Fault Diagnosis and Reconfiguration Control

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX07CA36P
Agency Tracking Number: 060437
Amount: $99,712.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T1.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-01-19
Award End Date (Contract End Date): 2008-01-18
Small Business Information
100 Great Meadow Rd., Suite 603
Wethersfield, CT 06109-2355
United States
DUNS: 808837496
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Sudipto Ghoshal
 Principal Investigator
 (480) 752-7909
 sudipto@teamqsi.com
Business Contact
 Chakrapani Vallurupalli
Title: Business Official
Phone: (860) 257-8014
Email: chuckv@teamqsi.com
Research Institution
 Vanderbilt University
 Not Available
 
Division of Sponsored Research, 110 21st Avenue South
Nashville, TN 37203
United States

 (615) 322-3979
 Domestic Nonprofit Research Organization
Abstract

In order to meet the challenges of long-duration space exploration (e.g., missions to the Moon, Mars and beyond), onboard real-time health management of spacecraft that responds rapidly to system and subsystem events is essential. In response to this need, Qualtech Systems, Inc. (QSI), in cooperation with Vanderbilt University, proposes to develop a distributed multi-agent fault diagnosis and reconfiguration control (FDR) approach for addressing the health management problem. The proposed solution uses "intelligent" schemes to coordinate local health assessments of multiple interconnected subsystems ("local diagnosers") to a convergent and correct global system health assessment. In addition, the solution recommends relevant system recovery functions based on fault isolation information and fault severity estimates. Design of local diagnosers for subsystem health assessment utilizes a combination of both model-based and data-driven diagnostic methods in an integrated development environment for accurate root cause isolation.

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

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