Online Hierarchical Fault-Adaptive Control for Advanced Life Support Systems 2004-01-2441
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.
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. Download Citation
Author(s):
Sherif Abdelwahed, Jian Wu, Gautam Biswas, John W. Ramirez, Eric J.-Manders
Affiliated:
Dept. of EECS and ISIS, Vanderbilt University
Pages: 10
Event:
International Conference On Environmental Systems
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Optimization
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