Abstract
On-orbit servicing (OOS) spacecrafts can provide a variety of services, so it is necessary to make reasonable mission planning between spacecrafts to improve the efficiency of collaborative works. In this paper, a multiple spacecraft mission planning based on multi-objective optimization algorithm is proposed according to the specific characteristics of mission planning in order to complete the optimization target, such as task completion time, fuel consumption, and service priorities. In this algorithm, the model of mission planning problem is established by designing decision variables and formal constraints, and Pareto optimal sets and multiple sets of solutions of that problem are the results of the improved NSGA-II. In particular, ideal solution can be chosen as necessary. From the results of two simulation examples, we can see that our method can solve the multi-spacecrafts mission planning problem under multiple constraints efficiently. It is expressive, flexible, extensible, and feasible easily.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (No. 61202251, 60875046), the Program for Liaoning Excellent Talents in University (No. LJQ2013133), and Program for Changjiang Scholars and Innovative Research Team in University (No. IRT_15R07), the Program for Liaoning Innovative Research Team in University (No.LT2015002), and by the Natural Science Foundation of Liaoning Province (201102008).
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Zhang, Q., Zhang, J., Zhang, Q., Wei, X. (2016). Multi-objective Optimization Algorithm in Mission Planning of On-Orbit Servicing Spacecraft. In: Huang, B., Yao, Y. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control. Lecture Notes in Electrical Engineering, vol 367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48768-6_117
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DOI: https://doi.org/10.1007/978-3-662-48768-6_117
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