NASA STTR 2009 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 09-1 T1.01-9951
RESEARCH SUBTOPIC TITLE: Information Technologies for System Health Management and Sustainability
PROPOSAL TITLE: An Approach to Health Management and Sustainability for Critical Aircraft Systems

SMALL BUSINESS CONCERN (SBC): RESEARCH INSTITUTION (RI):
NAME: Impact Technologies, LLC NAME: Georgia Insitute of Technology
STREET: 200 Canal View Blvd. STREET: 505 Tenth St. NW
CITY: Rochester CITY: Atlanta
STATE/ZIP: NY  14623 - 2893 STATE/ZIP: AK  30332 - 0420
PHONE: (585) 424-1990 PHONE: (404) 894-6929

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
George Vachtsevanos
george.vachtsevanos@impact-tek.com

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 4

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Impact Technologies, in collaboration with the Georgia Institute of Technology and its industrial partners, proposes to develop and demonstrate innovative technologies to integrate anomaly detection and failure prognosis algorithms into automated fault mitigation strategies for advanced aircraft controls. Traditional reactive fault tolerant control approaches fail to provide optimal fault mitigation over a long period of time to guarantee the integrity of the platform for the mission duration. We will create a generic simulation environment to demonstrate fault detection and progression at the component level, using electromechanical actuators as a testbench. The proposed Anomaly Detection/Mitigation system accepts sensor inputs, extracts features from raw data and employs an anomaly detection module to determine the presence of an anomaly with performance guarantees; a prognostic routine, built on Bayesian estimation (particle filtering) techniques to estimate the remaining useful life of the component; finally, a mitigation strategy trades off between performance and control authority to extend the life of the failing component until the mission is completed. This innovative prognostics-enhanced approach to fault mitigation uses Model Predictive Control techniques running in real time. Core algorithms will be implemented on embedded systems and used in hardware-in-the-loop demonstrations.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The need for automated fault diagnosis and anomaly mitigation technologies is evident in several new NASA programs focused on autonomous system operation. A potentially significant outcome of this program is to provide critical vehicle subsystems with the potential to become more reliable, operationally available and economically maintained through the use of the proactive anomaly detection and mitigation strategies. The real-time automated anomaly detection and fault mitigation technologies will be directly applicable to NASA's IVHM applications, Crew Exploration Vehicle, Reusable Launch Vehicles, Unmanned Air Vehicles and future generation general aviation platforms.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The integration of prognostics and adaptive reconfigurable control technologies within the proposed framework is unique and represents a potentially significant advancement for air/space transportation systems. The potential commercial use of the proposed technologies is broad. Examples of key customers that could benefit through use of the developed technologies include: unmanned combat air vehicles, JSF, future combat systems, commercial airlines, land and marine propulsion systems, industrial actuation systems, and robotic applications.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

TECHNOLOGY TAXONOMY MAPPING
Autonomous Control and Monitoring
Autonomous Reasoning/Artificial Intelligence
On-Board Computing and Data Management


Form Generated on 09-18-09 10:14