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Integrative optimum design for nano-satellite's radiator surface and heat insulation layers based on chaos genetic algorithm

  • Yuying Wang*
  • , Yunze Li
  • , Dongxiao Liu
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Passive thermal control system is very important for Nano-satellite's temperate control and its working safety. The design of radiator surface and heat insulation layers' thickness are two important points for the design of nano-satellite's passive thermal control system. A thermal dynamic model for nano-satellite's thermal system was presented by lumped parameter method. And the expressions of the three lumped units' temperatures were calculated. To keep the devices' temperature (Ti), the heat radiator's temperature (Tr) and the heat insulation layers' temperature (Ts) at suitable working levels, Nano-satellite's radiator surface and heat insulation layers' thickness are optimized based on chaos genetic algorithm (CGA). The optimization using simple genetic algorithm (SGA) is also carried out as comparison, and results showed that CGA is more effective in solving this optimization problem.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages3741-3745
Number of pages5
DOIs
StatePublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Chaos genetic algorithm
  • Heat insulation layer
  • Nano-satellite
  • Radiator surface

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