Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm

Sheng Hui Wan; Jun Ling Song; Jian Chen; Min Hu

doi:10.4028/www.scientific.net/AMM.341-342.1144

Paper Titles

A Study on Data Fusion of Wireless Sensor Networks Security
p.1124

A Panoramic Video Monitoring System Using Low-Altitude UAV Based on Fish-Eye Lens
p.1128

A Lightweight of Cluster-Based Key Management Scheme for Wireless Sensor Networks
p.1133

An Energy Balanced Clustering Algorithm Based on LEACH Protocol
p.1138

Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm
p.1144

A Study on Reconstructing Temperature Field
p.1150

Design of Semi Physical Simulation Platform for Autonomous Underwater Vehicle
p.1155

A Region Localization Algorithm Based on Anchors within Two Hops for Wireless Sensor Networks
p.1162

Images of High Density Resistivity Method in Leakage Detecting of the Watertight Screen at Gushan Open-Pit Mine
p.1167

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342Hybrid Approach to Optimize the Cluster Flying...

Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm

Abstract:

This template This paper investigates the optimal cluster flight orbit design issue for the fractionated spacecraft according to three main goals: keeping the cluster as stable as possible, preventing the collisions within the cluster, maintaining the inter-satellite distance within the maximum region. Firstly, the relative orbital elements are adopted to describe the relative motion. Then, the formation design requirements are formulated in terms of the relative orbital elements, the constrained optimization problem is solved using the hybrid particle swarm optimization algorithm integrated with sequential quadratic programming local search. The simulation results show that the hybrid PSO-SQP algorithm is effective.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

1144-1149

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.1144

Citation:

Cite this paper

Online since:

July 2013

Authors:

Sheng Hui Wan, Jun Ling Song, Jian Chen, Min Hu

Keywords:

Cluster Flying Orbit, Fractionated Spacecraft, Particle Swarm Optimization (PSO), Relative Orbital Elements, Sequential Quadratic Programming

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] G.Q. Zeng, M. Hu, H. Yao. Relative Orbit Estimation and Formation Keeping Control of Satellite Formations in Low Earth Orbits [J]. Acta Astronautica. 2012, 76: 164-175.

DOI: 10.1016/j.actaastro.2012.02.024

Google Scholar

[2] J.S. Ardaens,S. D'Amico. Spaceborne Autonomous Relative Control System for Dual Satellite Formations [J]. Journal of Guidance, Control, and Dynamics, 2009, 32(6): 1859-1870.

DOI: 10.2514/1.42855

Google Scholar

[3] J.H. Wang, S. Nakasuka. Cluster Flight Orbit Design Method for Fractionated Spacecraft [J]. Aircraft Engineering and Aerospace Technology, 2012, Vol. 84 Iss: 5.

DOI: 10.1108/00022661211255511

Google Scholar

[4] G.Q. Zeng, M. Hu. Collision Monitoring and Optimal Collision Avoidance Maneuver for Formation Flying Satellites [J]. Aircraft Engineering and Aerospace Technology. 2012, 84(6): 413-422.

DOI: 10.1108/00022661211272963

Google Scholar

[5] J. Kennedy, R. Eberhart. Particle Swarm Optimization [C]. Proceedings of the IEEE International Conference on Neural Network, Perth, Australia, 1995: 1942-(1948).

Google Scholar

[6] R.B. Wilson. A simplicial Algorithm for Concave Programming[D]. Boston: Graduate School of Business Administration, Harvard University, (1963).

Google Scholar