系统仿真学报 ›› 2017, Vol. 29 ›› Issue (3): 669-675.doi: 10.16182/j.issn1004731x.joss.201703027

• 仿真应用工程 • 上一篇    下一篇

吊放声纳搜潜参数正交试验设计与优化

罗木生1, 王宗杰1, 葛文才2   

  1. 1.海军航空工程学院,山东 烟台 264001;
    2.中国人民解放军91880部队,山东 胶州 266300
  • 收稿日期:2015-06-02 修回日期:2016-01-05 出版日期:2017-03-08 发布日期:2020-06-02
  • 作者简介:罗木生(1982-),男,江西广昌,博士生,讲师,研究方向为航空反潜;王宗杰(1978-),男,山东平度,博士生,讲师,研究方向为海军兵种战术。
  • 基金资助:
    国家社科基金军事学项目(14GJ003-154)

Optimization on Search Submarine Parameters of Dipping Sonar Using Orthogonal Design Method

Luo Musheng1, Wang Zongjie1, Ge Wencai2   

  1. 1. Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Unit 91880, PLA, Jiaozhou 266300, China
  • Received:2015-06-02 Revised:2016-01-05 Online:2017-03-08 Published:2020-06-02

摘要: 针对反潜直升机使用吊放声纳搜潜的参数优化问题,为克服多参数逐个分析优化方法的局限性,在分析吊放声纳搜索过程的基础上,采用正交试验设计的方法,围绕搜索概率、发现潜艇的平均花费时间2个指标,确定了7个影响吊放声纳搜潜效能的因素及相应的因素水平,构建了L18(61×36)混合水平正交试验方案,实现了7个参数同时变化下的仿真试验设计。采用蒙特卡洛法建立了仿真模型,对所有方案进行了仿真计算,结果显示:对不同的搜潜指标,因素的影响程度不同,且影响趋势也不尽相同;兵力数量2~3架、总搜索时间不超过搜索6个探测点所需时间为佳。

关键词: 吊放声纳, 正交设计, 搜潜, 参数优化, 搜索概率

Abstract: To solve the limitation of multi-parameter analysis using one by one optimization method, search submarine parameters optimization of antisubmarine helicopter using dipping sonar was studied. After analyzing the submarine-search process of dipping sonar, search probability and average time of search cost were made as the indexes. The seven primary factors which influenced submarine-search efficiency were analyzed and corresponding factorial levels were selected. Based on orthogonal design method, the orthogonal test schemes of L18(61×36) were built, which could simulate seven parameters when their value changed simultaneously. Monte Carlo simulation model was built and all schemes were simulated. The results show that the influence degree and influence trend of parameters are not the same to different search index; the number of helicopter should be 2 or 3; total search time should not excess the time cost to search 6 detecting points.

Key words: dipping sonar, orthogonal design, submarine search, parameters optimization, search probability

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