吊放声纳搜潜参数正交试验设计与优化

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

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L_(18)(6~1×3~6)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。

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^×3^6） 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 deteeting points.