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Neural Nets and Adaptive Reconfigurable Spacecraft Guidance and Control under…

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
22561
Program Year/Program:
1995 / SBIR
Agency Tracking Number:
22561
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-6562
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Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1995
Title: Neural Nets and Adaptive Reconfigurable Spacecraft Guidance and Control under Failure Conditions
Agency: NASA
Contract: N/A
Award Amount: $600,000.00
 

Abstract:

Future NASA space missions call for unprecedented levels of precision and reliability. Space Structures like other engineering systems, will suffer from unexpected failures and environmental disturbances. Although a large number of control subsystems are used to nullify or ameliorate the effects of such events, a health monitoring and supervisory control system is required to constantly monitor the operating status of each of these subsystems. Whenever a failure is predicted, the supervisor will take corrective actions. A new technique is proposed here for health monitoring and supervisory control which combines techniques from the areas of Artificial Neural Nets (ANN) and Robust Stochastic Control Theory. The proposed Phase I effort will consist of the following tasks: (i) Identify and develop an architecture for the health monitoring and supervisory control system, (ii) Identify and develop techniques for detection and classification using ANN after preprocessing by Extended Kalman Filtering and Principal Component Analysis, (iii) Identify and develop techniques for adaptive reconfiguration of control under failure conditions, and (iv) Demonstrate the detection, classification and reconfiguration for a sensor/actuator failure on a NASA Test Article case study simulation. During Phase II, other types of failures will be considered and the software will be implemented on line and tested on a NASA Test Article.

Principal Investigator:

R.K. Mehra
6179335355

Business Contact:

Small Business Information at Submission:

Scientific Systems Company,
500 West Cummings Park, Suite 3950 Woburn, MA 01801

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