Event diagnosis and recovery in real-time on-board autonomous mission control
Space missions will require, in a near future, different levels of on-board autonomy. An autonomous system shall have the possibility to detect eventual malfunctions or failures. As it is a rather complex system, the usual checks on the status of the subsystems are not enough to give a clear understanding of the possible situations that could occur.
It is necessary to have under control a wide set of possible events that are often correlated and, depending on the correlation of the occurred events, a particular action have to be taken.
This paper describes the implementation of a diagnostic expert system on a real time embedded system for space applications.
Expert system are generally considered not suited for real time applications, most expert systems are based on inferential engines that require huge computing power and that have unpredictable response times.
Real time embedded systems, in particular those for space applications, require hard real time performances and then the embedded software is required to be fast, to have small size and in particular to have predictable execution times.
KeywordsAutonomy On-Board Mission Planning Failure Diagnosis and Recovery On-Board Data Handling Real-time
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