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ZHANG Yi-wen, YIN Shao-ping, WANG Zhi-jie, GUO Jun, WU Pei-ming, CUI Xin-shan. Optimization Design of Vibration Isolation System for Torpedo Borne Computer Based on Multi-objective Genetic Algorithm[J]. Journal of Unmanned Undersea Systems, 2017, 25(创刊号): 057-63. doi: 10.11993/j.issn.2096-3920.2017.01.005
Citation: ZHANG Yi-wen, YIN Shao-ping, WANG Zhi-jie, GUO Jun, WU Pei-ming, CUI Xin-shan. Optimization Design of Vibration Isolation System for Torpedo Borne Computer Based on Multi-objective Genetic Algorithm[J]. Journal of Unmanned Undersea Systems, 2017, 25(创刊号): 057-63. doi: 10.11993/j.issn.2096-3920.2017.01.005

Optimization Design of Vibration Isolation System for Torpedo Borne Computer Based on Multi-objective Genetic Algorithm

doi: 10.11993/j.issn.2096-3920.2017.01.005
  • Received Date: 2016-11-19
  • Rev Recd Date: 2016-12-18
  • Publish Date: 2017-04-20
  • To solve the vibration isolation problem of torpedo borne computer in complex mechanical environment, this paper proposes a joint optimization design method based on UG and ANSYS Workbench. A parametric geometry model is established by UG and imported into ANSYS Workbench for finite element modeling. Modal parameters of the original design scheme are calculated and compared with the modal test data to prove the correctness of the calculation model. Then the optimal objective function is determined based on vibration isolation theory, and optimization design of the vibration isolation system is carried out using multi-objective genetic algorithm. Compared with the original design, the optimization scheme reduces the maximum natural frequency by 12.9% and the frequency interval by 79.6%, and increases the effective vibration isolation frequency by 39.1 Hz.

     

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  • [1]
    尹韶平, 刘瑞生. 鱼雷总体技术[M]. 北京: 国防工业出版社, 2011.
    [2]
    周亚东, 雷宏杰, 董萼良, 等. 惯性导航平台橡胶减振器斜角布置方法[J]. 振动测试与诊断, 2014, 34(3): 447-451.

    Zhou Ya-dong, Lei Hong-jie, Dong E-liang, et al. Study on Placement Method for Rubber Dampers of Inertial Navigation Platform[J]. Journal of Vibration, Measurement & Diagnosis, 2014, 34(3): 447-451.
    [3]
    Kim S M, Elliott S J, Brennan M J. Decentralized Control for Multichannel Active Vibration Isolation[J]. IEEE Transactions on Control Systems Technology, 2001, 9(1): 93-100.
    [4]
    Vulcan A, Bloch M. A Low Noise Vibration Isolated Air-borne Radar Synthesizer[C]//45th Annual Symposium on Frequency Control. [s.l.]: IEEE, 1991: 330-336.
    [5]
    宋昌才. UG NX8.5标准教程[M]. 北京: 科学出版社, 2016.
    [6]
    ANSYS Inc. ANSYS Workbench Help Document[M]. Canonsburg: ANSYS Inc, 2014.
    [7]
    丁文镜. 减振理论[M]. 北京: 清华大学出版社, 2014.
    [8]
    Wang X D, Hirsch C, Kang S, et al. Multi-objective Optimization of Turbomachinery Using Improved NSGA-II and Approximation Model[J]. Computer Methods in Applied Mechanics and Engineering, 2011, 200(9): 883-895.
    [9]
    周明, 孙树栋. 遗传算法原理及应用[M]. 北京: 国防工业出版社, 1999.
    [10]
    Yu L J, Liu S Y, Liu F M, et al. Energy Optimization of the Fin/Rudder Roll Stabilization System Based on the Multi-objective Genetic Algorithm[J]. Journal of Marine Science and Application, 2015(14): 202-207.
    [11]
    李楠, 王明辉, 马书根, 等. 基于多目标遗传算法的水陆两栖可变形机器人结构参数设计方法[J]. 机械工程学报, 2012, 48(17): 10-20.

    Li Nan, Wang Ming-hui, Ma Shu-gen, et al. Mechanism- parameters Design Method of an Amphibious Transformable Robot Based on Multi-objective Genetic Algorithm[J]. Journal of Mechanical Engineering, 2012, 48(17): 10-20.
    [12]
    李成冬, 孟春毅. 基于多目标遗传算法的汽车玻璃升降器结构优化设计[J]. 机械设计与制造, 2016(3): 253-256.

    Li Cheng-dong, Meng Chun-yi. Structure Research on Automotive Glass Riser with Multi-Objective Genetic Algorithm[J]. Machinery Design & Manufacture, 2016(3): 253-256.
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