About | Research | Publications
Awards | |
Office: Room 227 Intelligent Control Systems laboratory (ICSL) Manufacturing Research Center (MaRC) Georgia Institute of Technology (GaTech) 813 Ferst Drive, N.W. Atlanta, Georgia 30332-0560 U.S.A. Telephone: +1(404) 894-4130
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About
Proposed Research
Topic: “A Prognostic Health Management (PHM)-based framework for adaptive fault-tolerant control in avionics and related systems”
Motivation: Next generation military combat vehicles and aviation platforms are designed to meet new mission readiness and availability targets, ensure highly reliable performance, reduce maintenance/support costs, and improve longevity. However, recent efforts to increase availability and minimize production costs led to the wide-spread use of commercial off-the-shelf (COTS) components in military applications resulting in reduced system reliability and increased maintenance costs. A PHM based fault-tolerant control architecture can offset these tradeoffs by detecting and accommodating for impending failures to minimize the occurrence of unexpected, costly and possible life-threatening mission failures; reduce unnecessary maintenance actions; and extend system usability.
Work Scope: The proposed framework will be designed using a multi-layer open control platform (OCP) consisting of three layers: supervisory, intermediate, and low-level. The supervisory layer will manage high-level objectives, perform diagnosis and estimate remaining useful life (RUL). The intermediate layer will contain a reconfigurable control to determine optimal set points to ensure system stability and proper mode-transitioning. The low-level layer will apply set points to the local controllers. Verification and validation (V&V) of the system will ensure operations within design constraints and fault-modes are diagnosed correctly.
Implementation of the proposed fault-tolerant control architecture requires data acquisition, feature extraction, fault detection and isolation, failure prognosis, adaptive control and V&V. Features will be extracted from time, frequency/spectral, and wavelet analysis. Bayesian reasoning, fuzzy logic, particle filtering and neural network techniques will detect and identify fault modes. Failure prognosis will be performed using particle filtering to estimate RUL. Anticipated failures will be mitigated by applying a time-varying multi-objective criterion function and appropriate constraints to determine optimal reconfiguration.
Related Applications: The proposed framework will directly apply to commercial power systems, hybrid-electric vehicles and future generation aviation platforms. This work is currently being applied to flight actuators and Navy power drive systems with support from the Air Force Research Laboratory (AFRL) and Office of Naval Research (ONR) respectively.
Publications
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Awards and Honors
Sponsoring Agency: Air Force Office of Scientific Research [AFOSR] |
[04/2008] | |||
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[01/2007] | |||
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[01/2007] | |||
Presented on behalf of the U.S. Department of Defense [DoD] (External Link) |
[09/2005] | |||
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[05/2005] | |||
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[05/2001] | |||
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[05/2001] |
Acknowledgements
List of government agencies, universities and private companies whose support made this research possible,
Air Force Research Laboratory (AFRL)
Scientific research organization operated by the United States Air Force dedicated to leading the discovery, development, and integration of warfighting technologies for our air, space and cyberspace forces. |
Office of Naval Research (ONR)
Office within the United States Department of the Navy advancing scientific knowledge to support the generation of naval technology with a vision focused on future capabilities, hedging against the uncertainty of warfare. |
National Aeronautics and Space Administration (NASA)
Agency of the United State government dedicated to pioneering the future in space exploration, scientific discovery, and aeronautics research. |
Impact Technologies
High-tech engineering consulting and health management system development firm that is dedicated to supplying advanced machinery diagnostic and prognostic solutions and software tools in the aircraft, land-based equipment, power, and defense industries. |
Northrop Grumman Corporation (NGC)
Global defense and technology company whose 120,000 employees provide innovative systems, products, and solutions in information and services, electronics, aerospace and shipbuilding to government and commercial customers worldwide. |
Moog Inc.
Worldwide designer, manufacturer, and integrator of precision control components and systems; Moog’s high-performance systems control military and commercial aircraft, satellites and space vehicles, launch vehicles, missiles, automated industrial machinery, marine applications, and medical equipment. |
Georgia Tech Department of Electrical and Computer Engineering (ECE)
Deparment in the college of engineering at the Georgia Institute of Technology (Georgia Tech) aimed at innovative research, educational, and commercialization activities. |