• 中国科技核心期刊
  • Scopus收录期刊
  • DOAJ收录期刊
  • JST收录期刊
  • Euro Pub收录期刊
ZHAO Ran, XIE Hu, QIAO Bing. A Method for Identifying Hydrodynamic Parameters of Undersea Vehicle Based on Test Data[J]. Journal of Unmanned Undersea Systems, 2018, 26(4): 335-341. doi: 10.11993/j.issn.2096-3920.2018.04.010
Citation: ZHAO Ran, XIE Hu, QIAO Bing. A Method for Identifying Hydrodynamic Parameters of Undersea Vehicle Based on Test Data[J]. Journal of Unmanned Undersea Systems, 2018, 26(4): 335-341. doi: 10.11993/j.issn.2096-3920.2018.04.010

A Method for Identifying Hydrodynamic Parameters of Undersea Vehicle Based on Test Data

doi: 10.11993/j.issn.2096-3920.2018.04.010
  • Publish Date: 2018-08-31
  • It is difficult to obtain accurate values of hydrodynamic parameters through wind tunnel test or numerical calculation, therefore, the system identification method is usually employed for an aircraft to optimize its fluid parameters. However, the identification method for aircraft uses square-wave open-loop input, which is destructive and dangerous to a certain extent, so it is difficult to be used in undersea vehicle parameter identification. In this paper, a closed-loop control method adopting alternate path points is proposed to replace the traditional square-wave open-loop input for undersea vehicle in sea trial. It can both fully inspire undersea vehicle’s dynamic characteristics and ensure the safety of navigation. In order to reduce the difficulty of identification, the undersea vehicle is divided into several channels. Then, a certain type of undersea vehicle is taken as an example to optimize the parameter identification. The results show that satisfactory identification results of the channel can be obtained in sea trial as long as the actuator keeps the limit rudder for a period of time, and single channel parameter identification can also obtain high identification precision. After parameter identification, the open-loop simulation results are consistent with that from sea trial, which proves the feasibility of the proposed method in practical engineering application.

     

  • loading
  • [1]
    严卫生. 鱼雷航行力学[M]. 西安: 西北工业大学出版社, 2005: 43-44.
    [2]
    张宇文. 鱼雷流体力学[M]. 西安: 西北工业大学出版社, 1989: 37-43.
    [3]
    蔡金狮, 汪清, 王文正. 飞行器系统辨识学[M]. 北京:国防工业出版社, 2003: 9-15.
    [4]
    李超. 高超声速飞行器气动参数辨识和输入设计技术研究[D]. 厦门: 厦门大学, 2014.
    [5]
    李寒冰, 吴大卫. 一种无人机气动参数辨识的实现方法[J]. 飞行力学, 2014, 43(2): 8-14.

    Li han-bing, Wu da-wei. An Approach of UAV’s Aerodynamic Parameter Identification[J]. Flight Dynamics, 2014, 43(2): 8-14.
    [6]
    Shafer M F. Flight Investigation of Various Control Input Intended for Parameter Estimation[R]. US: AIAA 84-2073, 1984.
    [7]
    Tischler M B. System Identification Methods for Aircraft Flight Control Development and Validation[R]// USAATCOM Technical Report. US: NASA Technical Memorandum 110369 , 1995: 8-9.
    [8]
    Hamel P G. Jategaonkar R V. Evolution of Flight Vehicle System Identification[J]. Journal of Aircraft, 1996, 33(1): 9-28.
    [9]
    张天姣, 钱炜祺, 何开锋, 等. 基于最大似然法的风洞自由飞试验气动力参数辨识技术研究[J]. 实验流体力学, 2015, 29(5): 8-14.

    Zhang Tian-jiao, Qian Wei-qi, He Kai-feng, et al. Research on Aerodynamic Parameter Identification Technology in Wind Tunnel Free-Flight Test Based on Maximum Likelihood Estimation[J]. Journal of Experiments in Fluid Mechanics, 2015, 29(5): 8-14.
    [10]
    邓志刚, 朱大奇, 方建安. 水下机器人动力学模型参数辨识方法综述[J]. 上海海事大学学报, 2014, 35(2): 75-81.

    Deng Zhi-gang, Zhu Da-qi, Fang Jian-an. Parameter Identification Survey of Dynamic Model for Underwater Vehicles[J]. Journal of Shanghai Maritime University, 2014, 35(2): 75-81.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(955) PDF Downloads(375) Cited by()
    Proportional views
    Related
    Service
    Subscribe

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return