Parameter identification to motion model of UUV by extended Kalman Filter

被引：0
|
作者：
Xia Guihua [1 ]
Ban Ruiyang [1 ]
机构：
[1] Harbin Engn Univ, Harbin, Heilongjiang, Peoples R China
来源：
IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2017年
关键词：
Extended Kalman filter; Motion model; Parameter identification; UUV;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to determine the hydrodynamic parameters of UUV, a parameter identification algorithm using extended state equations and extended Kalman filter is proposed. Based on the DOF of UUV and hydrodynamic parameters to design the experiments, the identification results is used to rebuild the equations of UUV and compare the original motion track with simulation track together. The simulation result shows that the model established by this approach is feasible.
引用
收藏
页码：6911 / 6915
页数：5
相关论文
共 50 条
  • [1] CONDITIONAL EXTENDED KALMAN FILTER FOR BATTERY MODEL PARAMETER IDENTIFICATION
    Li, Yonghua
    Wang, Xu
    7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 2, 2014,
  • [2] Parameter identification of rock rheological model based on extended Kalman filter
    Yang, Chengxiang
    Feng, Xiating
    Chen, Bingrui
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2007, 26 (04): : 754 - 761
  • [3] Aquifer parameter identification using the extended Kalman filter
    Leng, CH
    Yeh, HD
    WATER RESOURCES RESEARCH, 2003, 39 (03)
  • [4] Application of Extended Kalman Filter for Parameter Identification of Electric Drives
    Vosmik, David
    Sutnar, Zdenek
    Peroutka, Zdenek
    2010 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS, 2010, : 371 - 374
  • [5] Paris law parameter identification based on the Extended Kalman Filter
    Melgar, M.
    Gomez-Jimenez, C.
    Cot, L. D.
    Dejean, S.
    Mabru, C.
    Martinez-Vega, J.
    CSNDD 2016 - INTERNATIONAL CONFERENCE ON STRUCTURAL NONLINEAR DYNAMICS AND DIAGNOSIS, 2016, 83
  • [6] Ultracapacitor modelling and parameter identification using the Extended Kalman Filter
    Zhang, Lei
    Wang, Zhenpo
    Sun, Fengchun
    Dorrell, David
    2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
  • [7] Parameter identification of an unconfined aquifer using extended Kalman filter
    Yeh, HD
    Leng, CH
    DEVELOPMENT AND APPLICATION OF COMPUTER TECHNIQUES TO ENVIRONMENTAL STUDIES, 2002, 9 : 425 - 432
  • [8] Model prediction torque control of PMSM based on extended Kalman filter parameter identification
    Li H.
    Xu H.
    Xu Y.
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2023, 27 (09): : 19 - 30
  • [9] Parameter Identification and Test of Dynamic Model for Supercapacitors Based on Extended Kalman Filter Method
    Chen, Lang
    Xie, Changjun
    Liu, Xia
    Shi, Ying
    Huang, Liang
    2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION ENGINEERING (ICECE 2019), 2019, : 381 - 386
  • [10] An Energy Balance Model Parameter Estimation with an Extended Kalman Filter
    Manurung, Auralius
    Kristiana, Lisa
    Aryanta, Dwi
    IFAC PAPERSONLINE, 2021, 54 (20): : 735 - 740
12345