Abstract
Satellite onboard activity planning refers to the process of arranging a set of onboard activities on a timeline. It is typically formulated as a complex optimization problem with various constraints that is similar to the classic flexible job-shop scheduling problem. This paper first formulates a practical mathematical model considering both the constraints of onboard resources and the sequential logic among the activities. Then an efficient heuristic with a set of knowledge-guided precedence rules for satellite onboard activity planning is proposed, which can achieve real-time planning of the onboard mission. Simulation results indicate that the proposed heuristic can very efficiently produce a satisfied planning scheme, which significantly outperforms the evolutionary algorithm-based optimization method in practical engineering applications.
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