A New Approach to System Design Optimization of Underwater Gliders

被引:0
作者
Yang, Ming [1 ,2 ]
Wang, Yanhui [1 ,2 ]
Liang, Yan [1 ,2 ]
Wang, Cheng [1 ,2 ]
机构
[1] Tianjin Univ, Sch Mech Engn, Key Lab Mech Theory & Equipment Design, Minist Educ, Tianjin 300350, Peoples R China
[2] Pilot Natl Lab Marine Sci & Technol, Joint Lab Ocean Observing & Detect, Qingdao 266237, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Multidisciplinary design optimization; system design optimization; underwater glider (UG); VEHICLE; STABILITY; HULL;
D O I
10.1109/TMECH.2022.3143125
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
System design optimization of an underwater glider involves various disciplines, such as hydrodynamics, structure, sizing, control, power, payload, and trajectory, which overlap with each other and influence the endurance of the system. Compared with traditional optimization methods, multidisciplinary design optimization provides a more efficient method for complex engineering problems involving overlapping disciplines. This article establishes a universal disciplinary framework of an underwater glider after the system analysis, which involves five disciplines, including hydrodynamic shape, pressure hull, buoyancy, attitude, and energy. To decouple the relationship among these disciplines and improve the efficiency of optimization, approximate models in the disciplines of hydrodynamic shape and pressure hull are established. After the coupling analysis, a novel approach is proposed for the system design optimization of an underwater glider, in which the concurrent subspace optimization, penalty function method, and the multipopulation genetic algorithm are combined together. The approach proposed in this article can meet the diversified design requirements of underwater gliders in different observation missions, which is verified by a sea trial of an improved Petrel-L glider.
引用
收藏
页码:3494 / 3505
页数:12
相关论文
共 32 条
  • [1] Alexandrov N. M., 1997, SIAM J CONTROL OPTIM, V1, P941
  • [2] A new approach in system and tactic design optimization of an autonomous underwater vehicle by using Multidisciplinary Design Optimization
    Bidoki, Mohsen
    Mortazavi, Mehdi
    Sabzehparvar, Mehdi
    [J]. OCEAN ENGINEERING, 2018, 147 : 517 - 530
  • [3] Gradient-based multidisciplinary design optimization of an autonomous underwater vehicle
    Chen, Xu
    Wang, Peng
    Zhang, Daiyu
    Dong, Huachao
    [J]. APPLIED OCEAN RESEARCH, 2018, 80 : 101 - 111
  • [4] Cramer E.J., 1994, SIAM J OPTIMIZ, P754, DOI DOI 10.1137/0804044
  • [5] Glider performance analysis and intermediate-fidelity modelling of underwater vehicles
    Deutsch, Clemens
    Kuttenkeuler, Jakob
    Melin, Tomas
    [J]. OCEAN ENGINEERING, 2020, 210
  • [6] Development of a Whale-Shark-Inspired Gliding Robotic Fish With High Maneuverability
    Dong, Huijie
    Wu, Zhengxing
    Chen, Di
    Tan, Min
    Yu, Junzhi
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 25 (06) : 2824 - 2834
  • [7] Design optimization of lay-up and composite material system to achieve minimum buoyancy factor for composite elliptical submersible pressure hull
    Fathallah, Elsayed
    Qi, Hui
    Tong, Lili
    Helal, Mahmoud
    [J]. COMPOSITE STRUCTURES, 2015, 121 : 16 - 26
  • [8] Hull shape optimization for autonomous underwater vehicles using CFD
    Gao, Ting
    Wang, Yaxing
    Pang, Yongjie
    Cao, Jian
    [J]. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2016, 10 (01) : 599 - 607
  • [9] SIMULTANEOUS ANALYSIS AND DESIGN
    HAFTKA, RT
    [J]. AIAA JOURNAL, 1985, 23 (07) : 1099 - 1103
  • [10] Effect of wing form on the hydrodynamic characteristics and dynamic stability of an underwater glider
    Javaid, Muhammad Yasar
    Ovinis, Mark
    Hashim, Fakhruldin B. M.
    Maimun, Adi
    Ahmed, Yasser M.
    Ullah, Barkat
    [J]. INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING, 2017, 9 (04) : 382 - 389