Journal of System Simulation
Abstract
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.
Recommended Citation
Luo, Musheng; Wang, Zongjie; and Ge, Wencai
(2020)
"Optimization on Search Submarine Parameters of Dipping Sonar Using Orthogonal Design Method,"
Journal of System Simulation: Vol. 29:
Iss.
3, Article 27.
DOI: 10.16182/j.issn1004731x.joss.201703027
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss3/27
First Page
669
Revised Date
2016-01-05
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201703027
Last Page
675
CLC
E925
Recommended Citation
Luo Musheng, Wang Zongjie, Ge Wencai. Optimization on Search Submarine Parameters of Dipping Sonar Using Orthogonal Design Method[J]. Journal of System Simulation, 2017, 29(3): 669-675.
DOI
10.16182/j.issn1004731x.joss.201703027
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