Fault Adaptive Control Technology
Motivation and Goals
Current technology supporting integrated fault diagnostics and control in
large-scale, heterogeneous systems is extremely limited. The objective of this
research is to develop new techniques that will be able to:
- detect discrepancies between
expected and observed behavior
- perform mode identification
- generate and verify fault
- analyze the expected consequences
of controller actions on system behavior
- derive system configuration
and control law alternatives that maintain critical functionalities
- select new control law among
the alternatives based on predicted transient behavior and performance
- manage reconfiguration
and take control actions to confine the fault and restore system operation
with the resources available
The project focuses on developing tools for the construction of dynamically
reconfigurable control systems, which will adaptively reconfigure themselves
based on diagnosis of faults. The tools will implement a domain-specific
environment that is customized to the application arena.
The project includes
- A hybrid compositional
modeling technology integrated with a model-integrated computing
- Monitoring, mode
identification, diagnosis, and recovery control methods.
- On-line controller synthesis
and hardware reconfiguration
- Transient management for
construction of structurally adaptive controllers
The developed algorithms and tools will be demonstrated and evaluated using
selected problems obtained from aerospace.
- Kickoff meeting San Francisco, November
- Albuquerque, NM, June 2000
- Durango, CO, October 2000
- Annapolis, MD, May 2001
- San Antonio, TX, Nov 2001
- Anchorage, AK, May 2002
This project is a DARPA
This project is conducted in cooperation with the Department of Measurement
and Information Systems, Technical University of Budapest, Hungary.
(Latest Release - 04/14/03.
Previous release available)
Release - 01/06/03. Previous
For additional information, please contact Gabor Karsai
at firstname.lastname@example.org or
at (615) 343-7471.