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Advanced Techniques for Non-Collocated Fault Detetion of Satellite Formations

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
124557
Solicitation Year:
2012
Solicitation Topic Code:
H9.04
Solicitation Number:
Small Business Information
SySense, Incorporated
1960 East Grand Avenue, Suite 1070 El Segundo, CA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Advanced Techniques for Non-Collocated Fault Detetion of Satellite Formations
Agency: NASA
Contract: NNX13CG10P
Award Amount: $124,993.00
 

Abstract:

This proposal is for the development of a dynamic fault detection filter for a formation of satellites operating in a highly nonlinear dynamic environment but processed at a ground station where measurement data may be available on an intermittent basis. A previous SBIR study demonstrates that nonlinearities have an adverse effect on a linear dynamic filter's ability to accurately declare faults. Thus, a fault detection filter capable of effectively accounting for nonlinear dynamics and measurement data interruptions is required. During the proposed Phase I effort, such filters will be designed for faults in the three translational modes of 4 satellites flying in formation near a highly elliptical orbit. The satellites will carry a limited suite of instruments, just sufficient to determine faults in the three translational modes and include a GPS receiver. Furthermore, communication with a ground station will only be available near perigee and the measurement data will be transmitted in bursts, which will introduce planned and unplanned communication blackouts that represent breaks in the time history of measurements. The proposed development will produce a fault detection and isolation algorithm that can mitigate these breaks and perform faster than a simple, cyclical restart implementation.

Principal Investigator:

Sung M. Kang
President
3103227973
kangs@sysense.com

Business Contact:

Nhattrieu Duong
CFO
3103227973
tom@sysense.com
Small Business Information at Submission:

SySense, Inc.
1960 East Grand Avenue, Suite 1070 El Segundo, CA -

EIN/Tax ID: 954852368
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No