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International Conference on Swarm Intelligence

ICSI 2016: Advances in Swarm Intelligence pp 491–499Cite as

Optimal Impulsive Thrust Trajectories for Satellite Formation via Improved Brainstorm Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9712))

Abstract

The optimization of the satellite trajectory is a product of the control thrust optimization. Using the Lambert theory formulation this paper considers the problem of a minimum fuel solution of the Lambert formulation by making use of Brainstorm Optimization (BSO). The traditional use of the Lambert formulation for generating control inputs typically pursues time dependent solutions. This paper adapted this formulation to satellite formation control to achieve fuel minimization. The numerical simulations show the feasibility of our method in obtaining minimum fuel solutions of the lambert formulation in contrast to the usual minimum time solution.

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Author information

Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, People’s Republic of China

    Olukunle Kolawole Soyinka & Haibin Duan

  2. Engineering and Space Systems Department, National Space Research and Development Agency, Abuja, Nigeria

    Olukunle Kolawole Soyinka

Authors
  1. Olukunle Kolawole Soyinka
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  2. Haibin Duan
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Corresponding author

Correspondence to Olukunle Kolawole Soyinka .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen University, Shenzhen, China

    Ben Niu

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Soyinka, O.K., Duan, H. (2016). Optimal Impulsive Thrust Trajectories for Satellite Formation via Improved Brainstorm Optimization. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9712. Springer, Cham. https://doi.org/10.1007/978-3-319-41000-5_49

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  • DOI: https://doi.org/10.1007/978-3-319-41000-5_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40999-3

  • Online ISBN: 978-3-319-41000-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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