On-Orbit Servicing Task Allocation for Multi-Spacecrafts Using HDPSO

Ying Zhang; Qiang Zhang

doi:10.4028/www.scientific.net/AMM.538.150

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538On-Orbit Servicing Task Allocation for...

On-Orbit Servicing Task Allocation for Multi-Spacecrafts Using HDPSO

Abstract:

By analyzing the key indicators which contain the value of the target spacecrafts, the attrition of servicing spacecrafts and consumption of time and fuel, a mathematical model is formulated. And a hybrid discrete particle swarm optimization (HDPSO) algorithm is proposed. Simulation results show that the algorithm can efficiently solve the multi-spacecrafts task allocation problem under multiple constraints.

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Periodical:

Applied Mechanics and Materials (Volume 538)

Pages:

150-153

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.538.150

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Online since:

April 2014

Authors:

Ying Zhang*, Qiang Zhang

Keywords:

Discrete Particle Swarm Optimization (DPSO), On-Orbit Service (OOS), Spacecraft Task Allocation, Tabu

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* - Corresponding Author

References

[1] Q.K. Pan, M.F. Tasgetiren, Y.C. Liang: A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem. Computers & Operations Research, Vol. 2807-2839 (2008), p.35.

DOI: 10.1016/j.cor.2006.12.030

Google Scholar

[2] B. Bethke, M. Valenti and J.P. How: UAV task assignment. Robotics & Automation Magazine, IEEE, Vol. 39-44 (2008), p.15.

DOI: 10.1109/m-ra.2007.914931

Google Scholar

[3] D. Jing, C. Jian, S. Min: Cooperative task assignment for heterogeneous multi-UAVs based on differential evolution algorithm. Intelligent Computing and Intelligent Systems, IEEE, Vol. 163-167 (2009).

DOI: 10.1109/icicisys.2009.5358296

Google Scholar

[4] H. Curtis: Orbital mechanics for engineering students. Elsevier, (2009).

Google Scholar

[5] J. Kennedy, R. Eberhart: Particle swarm optimization. IEEE International Conference on Neural Networks, Vol. 1942-1948 (1995).

Google Scholar

[6] F. Glover, in: Tabu search—part I, edited by ORSA Journal on computing, (1989), in press.

Google Scholar

[7] M. Clerc: Discrete particle swarm optimization, illustrated by the traveling salesman problem. New optimization techniques in engineering, Springer, Vol. 219-239 (2004).

DOI: 10.1007/978-3-540-39930-8_8

Google Scholar

[8] Q. Shen, W.M. Shi, W. Kong: Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data. Computational Biology and Chemistry, Vol. 53-60 (2008), p.32.

DOI: 10.1016/j.compbiolchem.2007.10.001

Google Scholar

[9] Q.X. Zhang, F.C. Sun, B. Xu, et al: Multiple spacecrafts on-orbit service task allocation based on DPSO. Chinese Space Science and Technology, Vol. 68-76 (2012), p.32.

Google Scholar