An Intelligent Health Monitoring and Fault Accommodation Approach for Nonlinear Aircraft Operating in Multiple Regimes

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-02-M-0242
Agency Tracking Number: N023-0084
Amount: $64,460.00
Phase: Phase I
Program: STTR
Awards Year: 2002
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Intelligent Automation, Inc.
7519 Standish Place, Suite 200, Rockville, MD, 20855
Duns: 161911532
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Chiman Kwan
 Director of Research & Development
 (301) 294-5238
 ckwan@i-a-i.com
Business Contact
 Marc Toplin
Title: Director of Contracts
Phone: (301) 294-5215
Email: mtoplin@i-a-i.com
Research Institution
 University of Cincinnati
 Marios Polycarpou
 814 Rhodes Hall, PO Box 210030
Cincinnati, OH, 45221
 (513) 556-4763
 Nonprofit college or university
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."

* information listed above is at the time of submission.

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