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Volume 42 Issue 5
May  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(5): 1055-1064.
DONG Yunfeng, WEI Xiaona, HAO Zhaoet al. A multi-Agent negotiation based collaborative optimization application in satellite design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 1055-1064. doi: 10.13700/j.bh.1001-5965.2015.0640(in Chinese)
Citation: DONG Yunfeng, WEI Xiaona, HAO Zhaoet al. A multi-Agent negotiation based collaborative optimization application in satellite design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 1055-1064. doi: 10.13700/j.bh.1001-5965.2015.0640(in Chinese)
shu

A multi-Agent negotiation based collaborative optimization application in satellite design

doi: 10.13700/j.bh.1001-5965.2015.0640
  • 1.

    School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Measurement Technology Institute, Chinese Flight Test Establishment, Xi'an 710089, China

  • Received Date: 28 Sep 2015
  • Publish Date: 20 May 2016
    Abstract
  • Satellite design is a complex problem of multidisciplinary optimization.Collaborative optimization algorithm, with its feature of modularization, is suitable for being applied to the multidisciplinary optimization of satellite design. To guarantee the consistency of shared variables between the system level and the subsystem level, the traditional collaborative optimization has the limitation such as convergence dilemma and excessive computational cost. And the traditional collaborative optimization which cannot optimize the subsystems cannot ensure the optimization of satellite overall performance. This paper proposes a multi-Agent negotiation based collaborative optimization algorithm by introducing the concept of Agent-based model and multi-Agent negotiation. We take earth observation satellite as an example, and with the object that the total weight is the minimum, a system-level Agent model and four subsystem-level Agent models including structure subsystem, orbit subsystem, attitude subsystem and power subsystem are built. The results indicate that the multi-Agent negotiation based collaborative optimization algorithm can ensure the consistency of shared variables, and the subsystem optimization model ensures that the subsystems are optimal when system-level optimization is carried out.

     

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