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Research of AI Planning for Space Flight Control Based on PDDL

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 323))

Abstract

The application of Artificial Intelligence (AI) theories and methods are required to enable more efficient space flight control center system. Applying AI planning theories, an AI planning method is proposed for space flight control based on planning domain definition language (PDDL) in this paper. Beginning from analyzing characteristics of space flight control planning problem in terms of AI planning theories, field model and problem model for space flight control planning are established. Then a solving architecture of space flight control planning problem based on PDDL is presented. Finally taking example from east-west station-keeping control, the feasibility of this method is proved.

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Acknowledgments

The planner LPG-td was developed by Alfonso Gerevini, etc, and its code is available in http://prometeo.ing.unibs.it/lpg. I would like to appreciate you and your code to provide contributions for my research.

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Correspondence to Jianping Liu .

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© 2015 Springer-Verlag Berlin Heidelberg

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Liu, J., Yang, F., Li, J. (2015). Research of AI Planning for Space Flight Control Based on PDDL. In: Shen, R., Qian, W. (eds) Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44687-4_33

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  • DOI: https://doi.org/10.1007/978-3-662-44687-4_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44686-7

  • Online ISBN: 978-3-662-44687-4

  • eBook Packages: EngineeringEngineering (R0)

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