计算机工程 ›› 2011, Vol. 37 ›› Issue (18): 278-280.doi: 10.3969/j.issn.1000-3428.2011.18.093

• 开发研究与设计技术 • 上一篇    下一篇

导弹并行测试系统优化模型与性能评价

谢化勇,肖明清,李 斌,陈子亮   

  1. (空军工程大学工程学院,西安 710038)
  • 收稿日期:2011-02-28 出版日期:2011-09-20 发布日期:2011-09-20
  • 作者简介:谢化勇(1981-),男,博士研究生,主研方向:并行测试;肖明清,教授、博士生导师;李 斌,博士研究生;陈子亮,硕士研究生
  • 基金项目:
    国家部委基金资助重点项目

Optimization Model and Performance Evaluation of Missiles Parallel Test System

XIE Hua-yong, XIAO Ming-qing, LI Bin, CHEN Zi-liang   

  1. (Engineering College, Air Force Engineering University, Xi’an 710038, China)
  • Received:2011-02-28 Online:2011-09-20 Published:2011-09-20

摘要: 并行测试是一代测试(NxTest)的关键技术之一,其核心是测试任务调度。基于此,在改进的蚁群算法基础上提出并行测试任务调度方法,获得测试任务最优调度序列,Matlab仿真结果证明了该方法的有效性。采用赋时有色Petri网对并行测试系统进行建模,并基于线性代数的方法验证模型结构的有界性、守恒性、活性和公平性。性能分析结果表明,该方法能提高测试资源利用率,节约测试时间。

关键词: 并行测试, 赋时有色Petri网, 性能评价, 任务调度, 蚁群算法

Abstract: Parallel test, whose kernel is task schedule, is one of the key technology of the NxTest. Task schedule algorithm for Parallel Automatic Test System(PATS) based on ameliorated Ant Colony Algorithm(ACA) is brought forward to get the optimization task schedule sequences. And simulation results of Matlab show the validity of ACA. The model of PATS is built based on Timed Colored Petri Net(TCPN). The boundedness, conservation, liveness and fairness of the model are validated based on linear algebra. Results of performance analysis shows that parallel test can improve the utilization rate of instruments greatly and it can save a lot of time.

Key words: parallel test, Timed Colored Petri Net(TCPN), performance evaluation, task schedule, Ant Colony Algorithm(ACA)

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