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author:

Sun, Shaojun (Sun, Shaojun.) [1] | Luo, Weilin (Luo, Weilin.) [2] (Scholars:罗伟林)

Indexed by:

Scopus SCIE

Abstract:

To improve the efficiency of the multidisciplinary design optimization of underwater vehicles, this paper proposes a combined proxy model with adaptive dynamic sampling. The radial basis function model (RBF), Kriging model, and polynomial response surface model (PRS) are used to construct the proxy model. Efficient sample points are collected based on the synthetic minority oversampling technique (SMOTE) algorithm and the lower confidence bound (LCB) criterion. The proxy model process is integrated after dynamic sampling. The collaborative optimization framework is used, which considers the coupling between the main system set and the subsystem set. The hierarchical analysis method is used to transform the multidisciplinary optimization problem into a single-objective optimization problem. Computational fluid dynamics (CFD) numerical simulation is utilized to simulate underwater submarine navigation. The optimization strategy is applied to the underwater vehicle SUBOFF to optimize resistance and energy consumption. Three dynamic proxy models and three static proxy models are compared. The results show that the optimization efficiency of the underwater vehicle has been improved. To prove the generalization performance of the proposed combined proxy model, a reducer example is investigated for comparison. The results show that the combined proxy model (CPM) is highly accurate and has excellent generalization performance.

Keyword:

collaborative optimization energy consumption proxy model resistance underwater vehicle

Community:

  • [ 1 ] [Sun, Shaojun]Fuzhou Univ, Fuzhou Inst Oceanog, Fuzhou 350108, Peoples R China
  • [ 2 ] [Luo, Weilin]Fuzhou Univ, Fuzhou Inst Oceanog, Fuzhou 350108, Peoples R China
  • [ 3 ] [Sun, Shaojun]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 4 ] [Luo, Weilin]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Luo, Weilin]Fuzhou Univ, Fuzhou Inst Oceanog, Fuzhou 350108, Peoples R China;;[Luo, Weilin]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China;;

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Source :

JOURNAL OF MARINE SCIENCE AND ENGINEERING

Year: 2024

Issue: 7

Volume: 12

2 . 7 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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