Research on Enable Advanced Technologies for Swarm Construction

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In order to construct a swarm to accomplish the future space missions, e.g., space exploration, which will be unmanned and necessarily highly autonomous, some enable technologies should be first investigated deeply, such as deployment optimization, inter satellite link and collide avoidance. In this paper, an optimal model of deployment for satellite platforms is presented firstly, which is indeed an intrinsic multi-objective optimization model. Secondly, an inter satellite link based on free-space optical communication is designed to accomplish the information exchange among the notes in swarm. Thirdly, an effective collide avoidance strategy using potential function is put forward to reduce the lost of swarm notes during moving to the target location. With the technologies previously mentioned, swarm will exhibit the properties of self-protecting, self-healing, self-configuring, and self-optimizing compared with traditional large-size satellite. This work affords a strategy to achieve the concept mission, swarm-based space mission.

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1001-1005

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] NASA's Swarm Missions: The Challenge of Building Autonomous Software[D]. 2004 IT Pro, 47-52.

Google Scholar

[2] Satellite Swarms Dynamics and Control, www. esa. int/gsp/ACT/mad/pp/SwarmControl/ swarmcontrol. htm.

Google Scholar

[3] Curtis, S., Mica, J., Nuth, J., Marr, G., Rilee,M., and Bath,M., ANTS (Autonomous Nano-Technology Swarm): An Artificial Intelligence Approach to Asteroid Belt Resource Exploration, IAF Paper 00-Q. 05. 08, Oct. (2000).

Google Scholar

[4] Carlo Pinciroli, Mauro Birattari, Elio Tuci, Marco Dorigo, Marco del Rey Zapatero, Tamas Vinko, and Dario Izzo, Lattice Formation in Space for a Swarm of Pico Satellites, ANTS 2008, LNCS 5217, p.347–354, (2008).

DOI: 10.1007/978-3-540-87527-7_36

Google Scholar

[5] McLurkin, J., and Smith, J. Distributed Algorithms for Dispersion in Indoor Environments using a Swarm of Autonomous Mobile Robots[D]. 7th International Symposium on DistributedAutonomous Robotic Systems (DARS) (2004).

DOI: 10.1007/978-4-431-35873-2_39

Google Scholar

[6] Nouyan, S., Groß, R., Bonani, M., Mondada, F., and Dorigo, M. Group transport along a robot chain in a self-organised robot colony[D]. In Proc. of the 9th Int. Conf. on Intelligent Autonomous Systems (2006).

Google Scholar

[7] Wang xuyu. Deployment Optimization for Airship Platforms in Near Earth Space[ D]. (2012).

Google Scholar

[8] Khatib, et al. Real-time obstacle avoidance for manipulators and mobile robots[J]. The International Journal of Robotics Research, 1986, 5 (1), 90-98.

DOI: 10.1177/027836498600500106

Google Scholar

[9] Badawy, Ahmed and McInnes, C.R. Spacecraft formation-flying using potential functions[D]. In: 59th International Astronautical Congress, 29 Sep - 3 Oct 2008, Glasgow, Scotland.

Google Scholar

[10] Yuan An, Yue Yang, Baohua Wang, et al. Special swarm technology based on complex self-organized network[D], 5th CSA-IAA Conference on Advanced Space.

Google Scholar