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An Intelligent Health Monitoring and Fault Accommodation Approach for Nonlinear…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
56143
Program Year/Program:
2002 / STTR
Agency Tracking Number:
N023-0084
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive suite 400 Rockville, MD 20855-2735
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: An Intelligent Health Monitoring and Fault Accommodation Approach for Nonlinear Aircraft Operating in Multiple Regimes
Agency / Branch: DOD / NAVY
Contract: N00014-02-M-0242
Award Amount: $64,460.00
 

Abstract:

"Here Intelligent Automation, Inc. (IAI) proposes a new approach for designing intelligent health monitoring supervisor and fault tolerant controllers for non-linear air vehicles. First, a novel on-line monitoring system performs model validation and faultdiagnosis. The monitor automatically distinguishes between fault occurrence and operating regime switching. It can directly deal with nonlinear fault models, handle unstructured modeling uncertainty and unexpected failures, and is suitable for real-timeoperations. Second, a new reconfiguration supervisor makes decision regarding controller selection and resource management. The supervisor provides a unified framework for fault diagnosis and fault-tolerant controller, which is still lacking according to arecent survey paper. Another new feature is that the effect of fault detection time on system stability has been explicitly taken into account. Third, a controller suite with novel robust controllers to deal with different failure modes in each regime isproposed. The fault tolerant controllers are designed based on recently developed nonlinear adaptive/neural net techniques by the Principal Investigator, Dr. C. Kwan. The controller guarantees closed-loop stability for a general class of nonlinear systems.Moreover, it has an on-line tuning scheme that eliminates off-line training of the neural net, which is extremely important in rapidly varying environment. The proposed method combines several breakthroughs in fault detection and isolation, and robustcontrol techniques in a unified framework. The proposed method can be used for applications such as aircraft, spacecraft, motors, robots, submarines, and nuclear reactors. We expect the method to be widely used in many commercial and military applications."

Principal Investigator:

Chiman Kwan
Director of Research & Development
3012945238
ckwan@i-a-i.com

Business Contact:

Marc B. Toplin
Director of Contracts
3012945215
mtoplin@i-a-i.com
Small Business Information at Submission:

Intelligent Automation, Inc.
7519 Standish Place, Suite 200 Rockville, MD 20855

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Cincinnati
814 Rhodes Hall, PO Box 210030
Cincinnati, OH 45221
Contact: Marios Polycarpou
Contact Phone: (513) 556-4763
RI Type: Nonprofit college or university