计算机工程

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SpaceWire总线冗余备份优化方法

王国辉1,张晓宇2,关 永1,刘永梅1   

  1. (1. 首都师范大学电子系统可靠性技术北京市重点实验室,北京 100048;2. 中国电子科技集团公司第五十四研究所卫星通信与广播电视专业部,石家庄 067000)
  • 收稿日期:2012-11-08 出版日期:2014-01-15 发布日期:2014-01-13
  • 作者简介:王国辉(1984-),男,硕士,主研方向:嵌入式系统,智能信息处理;张晓宇,助理工程师;关 永,教授、博士、博士生导师;刘永梅,硕士
  • 基金项目:
    国际科技合作基金资助项目(2010DFB10930)

Optimization Method of Redundant Backup for SpaceWire Bus

WANG Guo-hui  1, ZHANG Xiao-yu  2, GUAN Yong  1, LIU Yong-mei   1   

  1. (1. Beijing Key Laboratory of Electronic Systems Reliability Technology, Capital Normal University, Beijing 100048, China; 2. Division of Satellite Communication, Broadcasting and TV, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 067000, China)
  • Received:2012-11-08 Online:2014-01-15 Published:2014-01-13

摘要: 在现场可编程门阵列(FPGA)资源有限的情况下,提出一种基于FPGA的SpaceWire总线冗余备份优化方法。采用调整内部功能子模块可靠度的方法,实现整个系统的备份优化,提高系统可靠性。根据失效率λ计算节点内各功能子模块的可靠度。基于评分分配法,计算每个子模块所应达到的可靠度指标。同时从数学角度,基于线性规划理论寻找冗余备份优化问题最优解。仿真实验结果表明,该方法能够在满足可靠度要求的前提下节约FPGA的片上资源。

关键词: SpaceWire总线, 冗余备份, 系统可靠性, 模块可靠度, 评分分配, 线性规划, 优化设计

Abstract: In the case of limited Field Programmable Gate Array(FPGA) resources, this paper proposes an optimization method of SpaceWire redundancy. By adjusting reliability of functional sub-modules, this paper realizes backup optimization for the whole system and improves the reliability. Based on the failure rate λ, the reliability of sub-modules is calculated. According to the score distribution method, respectively, the reliability index is calculated for each module to meet the requirements of overall system reliability. At the same time, from the view of mathematics, the optimal solution is obtained from a mathematical point of view to arrive at the best backup allocation scheme for the various functional sub-module redundancy designing based on the theory of nonlinear programming. Simulation results prove that the method can meet the reliability requirement under the premise to save FPGA resource on chip.

Key words: SpaceWire bus, redundant backup, system reliability, module reliability, score distribution, linear programming, optimization design

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