Intelligent control of auxiliary ship systems

Authors:
David Scheidt;Christopher McCubbin;Michael Pekala;Shon Vick;David Alger
Affiliations:
The Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland;The Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland;The Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland;The Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland;The Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland
Venue:
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
Year:
2002

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Abstract

The Open Autonomy Kernel (OAK) is an architecture for autonomous distributed control. OAK addresses control as a three-step process: diagnosis, planning and execution. OAK is specifically designed to support "hard" control problems in which the system is complex, sensor coverage is incomplete, and distribution of control is desired. A unique combination of model-based reasoning and autonomous agents are used. Model-based reasoning is used to perform diagnosis. Observations and execution are distributed using autonomous intelligent agents. Planning is performed with simple script or graph-spanning planners. A prototype OAK system designed to control the chilled water distribution system of a Navy surface ship has been developed and is described.