This paper proposes a framework for scheduling the observation and download tasks of multiple agile satellites with practical considerations such as attitude transition time, onboard data capacity, and stereoscopic image acquisition. A mixed integer linear programming (MILP) formulation for optimal scheduling that can address these practical considerations is introduced. A heuristic algorithm to obtain a near-optimal solution of the formulated MILP based on the time windows pruning procedure is proposed. A comprehensive case study demonstrating the validity of the proposed formulation and heuristic is presented.
Task Scheduling of Agile Satellites with Transition Time and Stereoscopic Imaging Constraints
Journal of Aerospace Information Systems ; 17 , 6 ; 285-293
2020-03-11
9 pages
Article (Journal)
Electronic Resource
English
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