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  • 标题:Optimization of Determinant Factors of Satellite Electrical Power System with Particle Swarm Optimization (PSO) Algorithm.
  • 本地全文:下载
  • 作者:Nahari, A. ; Mousavi, D. S. ; Badjani, D. S
  • 期刊名称:International Journal of Electronics Communication and Computer Engineering
  • 印刷版ISSN:2249-071X
  • 电子版ISSN:2278-4209
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:279-284
  • 出版社:IJECCE
  • 摘要:Weight and dimension, cost, and performance are determinant factors for design, fabrication, and launch the satellites which are related to the mission type of the satellites. Each satellite includes several subsystems such as Electrical Power Subsystem (EPS), Navigation Subsystem, Thermal Subsystem, etc. The purpose of this paper is to optimize these determinant factors by Particle Swarm Optimization (PSO) algorithm, for Electrical Power Subsystem. This paper considers the effects of selecting various types of Photovoltaic (PV) cells and batteries on weight and dimension, cost, and performance of the satellite. We have used two various types of PVs and two various type of batteries in optimization of the Electrical Power Subsystem (EPS).
  • 关键词:Satellite Electrical Power Subsystem; Particle Swarm Optimization; Determinant Factors; Photovoltaic PV Cells; Batteries
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