Online fault adaptive control for efficient resource management in Advanced Life Support Systems.
This article presents the design and implementation of a controller scheme for efficient resource management in Advanced Life Support Systems. In the proposed approach, a switching hybrid system model is used to represent the dynamics of the system components and their interactions. The operational specifications for the controller are represented by utility functions, and the corresponding resource management problem is formulated as a safety control problem. The controller is designed as a limited-horizon online supervisory controller that performs a limited forward search on the state-space of the system at each time step, and uses the utility functions to decide on the best action. The feasibility and accuracy of the online algorithm can be assessed at design time. We demonstrate the effectiveness of the scheme by running a set of experiments on the Reverse Osmosis (RO) subsystem of the Water Recovery System (WRS).
Abdelwahed
Sherif
S
Institute for Software Integrated Systems, Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
Wu
Jian
J
Biswas
Gautam
G
Ramirez
John
J
Manders
Eric-J
EJ
D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003661:Decision Support Techniques; D018504:Ecological Systems, Closed; D004869:Equipment Safety / Q000295:instrumentation*; D008021:Life Support Systems / Q000295:instrumentation*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D009995:Osmosis; D013026:Space Flight / Q000295:instrumentation*; D013598:Systems Theory; D018508:Water Purification / Q000295:instrumentation*