Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model

Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model

An automated approximate model generation platform integrating the vehicle type generation, grid division and CFD resistance calculation is established, and the approximate model is obtained based on underwater vehicle resistance. Three approximate models of RSM model, RBF model and Kriging model we...

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Bibliographic Details
Main Authors: ZHENG Guan-chao, YANG Xiao-liang
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/21/matecconf_icfmce2019_01029.pdf
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spelling doaj-5119be242a6d4cc59df615f904b2e4d72021-02-02T07:34:25ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012720102910.1051/matecconf/201927201029matecconf_icfmce2019_01029Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate modelZHENG Guan-chaoYANG Xiao-liangAn automated approximate model generation platform integrating the vehicle type generation, grid division and CFD resistance calculation is established, and the approximate model is obtained based on underwater vehicle resistance. Three approximate models of RSM model, RBF model and Kriging model were compared, and the error results were analyzed. The four-order RSM model with different speed is established, and the different speed model is weighted fitting and the approximate model of multi-speed fitting is obtained, which can be applied to the resistance optimization of multi-speed interval. Based on the intelligent optimization platform of fitting approximation model, MIGA algorithm is adopted to optimize the displacement volume, the longitudinal position of the floating center and the resistance, and get the optimal underwater vehicle type.https://www.matec-conferences.org/articles/matecconf/pdf/2019/21/matecconf_icfmce2019_01029.pdf
collection DOAJ
language English
format Article
sources DOAJ
author ZHENG Guan-chao
YANG Xiao-liang
spellingShingle ZHENG Guan-chao
YANG Xiao-liang
Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
MATEC Web of Conferences
author_facet ZHENG Guan-chao
YANG Xiao-liang
author_sort ZHENG Guan-chao
title Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
title_short Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
title_full Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
title_fullStr Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
title_full_unstemmed Studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
title_sort studies of the resistance optimization of underwater vehicle based on multiple-speed approximate model
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description An automated approximate model generation platform integrating the vehicle type generation, grid division and CFD resistance calculation is established, and the approximate model is obtained based on underwater vehicle resistance. Three approximate models of RSM model, RBF model and Kriging model were compared, and the error results were analyzed. The four-order RSM model with different speed is established, and the different speed model is weighted fitting and the approximate model of multi-speed fitting is obtained, which can be applied to the resistance optimization of multi-speed interval. Based on the intelligent optimization platform of fitting approximation model, MIGA algorithm is adopted to optimize the displacement volume, the longitudinal position of the floating center and the resistance, and get the optimal underwater vehicle type.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/21/matecconf_icfmce2019_01029.pdf
work_keys_str_mv AT zhengguanchao studiesoftheresistanceoptimizationofunderwatervehiclebasedonmultiplespeedapproximatemodel
AT yangxiaoliang studiesoftheresistanceoptimizationofunderwatervehiclebasedonmultiplespeedapproximatemodel
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