This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Online Hierarchical Fault-Adaptive Control for Advanced Life Support Systems
Technical Paper
2004-01-2441
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper discusses a hierarchical online fault-adaptive control approach for Advanced Life Support (ALS) Systems. ALS systems contain a number of complex interacting subsystems. To avoid complexity in the models and online analysis, diagnosis and fault-adaptive control is achieved by local units. To maintain overall performance, the problem of resource management for contending concurrent subsystems has to be addressed. We implement a control structure, where predefined set-point specifications for system operation are used to derive optimizing utility functions for the subsystem controllers. We apply this approach in situations where a fault occurs in a system, and once the fault is isolated and identified, the controllers use the updated system model to derive new set point specifications and utility functions for the faulty system.
Authors
- Sherif Abdelwahed - Dept. of EECS and ISIS, Vanderbilt University
- Jian Wu - Dept. of EECS and ISIS, Vanderbilt University
- Gautam Biswas - Dept. of EECS and ISIS, Vanderbilt University
- John W. Ramirez - Dept. of EECS and ISIS, Vanderbilt University
- Eric J.-Manders - Dept. of EECS and ISIS, Vanderbilt University
Topic
Citation
Abdelwahed, S., Wu, J., Biswas, G., Ramirez, J. et al., "Online Hierarchical Fault-Adaptive Control for Advanced Life Support Systems," SAE Technical Paper 2004-01-2441, 2004, https://doi.org/10.4271/2004-01-2441.Also In
References
- Duffield Hanford Lange “Advanced life support requirements document,” Sept. 2002
- Isermann R. “Supervision, fault-detection and fault-diagnosis methods – an introduction,” Control Engineering Practice 5 5 639 652 May 1997
- Bonasso P. Kortenkamp D. Thronesbery C. “Intelligent control of a water recovery system: Three years in the trenches,” AI Magazine 19 43 2003
- Mosterman P. J. Biswas G. “A theory of discontinuities in dynamic physical systems,” Journal of the Franklin Institute 334B 6 401 439 1997
- Antsaklis P. Special Issue on Hybrid Systems, volume 88 of Proceedings of the IEEE July 2000
- Antsaklis P. Nerode A. Special Issue on Hybrid Control Systems, volume 43 of IEEE Trans. Automatic Control April 1998
- Lunze J. Qualitative modeling of linear dynamical systems with quantized state measurements Automatica 30 3 417 431 1994
- Morari M. Lee J. Model predictive control: Past, present and future Computers and Chemical Engineering 23 667 682 1999
- Cury J. Krogh B. Niinomi T. Synthesis of supervisory controllers for hybrid systems based on approximating automata IEEE Trans. Automatic Control 43 4 564 568 1998
- Koo T. J. Pappas G. Sastry S. Mode switching synthesis for reachability specifications Di Benedetto M. D. Sangiovanni-Vincentelli A. Hybrid Systems: Computation and Control 333 346 Springer Verlag 2001
- Biswas G. Simon G. Mahadevan N. Narasimhan S. Ramirez J. Karsai G. “A robust method for hybrid diagnosis of complex systems,” 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS) Washington, D.C. 1125 1130 June 2003
- Mosterman P. J. Biswas G. “Diagnosis of continuous valued systems in transient operating regions,” IEEE Trans. Systems, Man, and Cybernetics - A 29 6 554 565 1999
- Kortenkamp D. Bell S. “BioSim: An integrated simulation of an advanced life support system for intelligent control research,” Proc. of the 7th Intl. Symposium on Artificial Intelligence, Robotics and Automation in Space 2003
- Karnopp D. C. Margolis D. L. Rosenberg R. C. Systems Dynamics: Modeling and Simulation of Mechatronic Systems John Wiley & Sons, Inc. New York 3rd edition 2000
- Brammer K. Siffling G. Kalman-Bucy Filters Artec House Norwood MA 1989
- Karsai G. Biswas G. Abdelwahed S. Pasternak T. Narasimhan S. Peceli G. Simon G. Kovacshazy T. Towards fault-adaptive control of complex dynamical systems Samad Tariq Balas Gary Software-Enabled Control Information Technology for Dynamical Systems 347 368 Wiley Interscience 2003
- DeLurgio S. A. Forecasting Principles and Applications McGraw-Hill Intl. Singapore 1998