Parameter estimation of thruster motor for underwater robot through weighted least square method

被引：0
|
作者：
Chen, ZF [1 ]
An, YY [1 ]
Li, HM [1 ]
Sun, CZ [1 ]
机构：
[1] Shenyang Univ Technol, Sch Elect Engn, Shenyang 110023, Peoples R China
来源：
2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a weighted least square identification approach to estimate the parameters of an underwater robot thruster motor rated at 0.45ph from off-line dynamic characters. The motor equivalent circuit and mechanical model linear parameters and the nonlinear saturated parameters are estimated. Simulation is studied to validate the accuracy of the identified motor model including the saturation based on the measured dynamic starting performance data.
引用
收藏
页码：1007 / 1011
页数：5
相关论文
共 50 条
  • [1] ESTIMATION QUALITY OF A WEIGHTED LEAST-SQUARE PARAMETER ESTIMATION METHOD BASED ON BINARY OBSERVATIONS
    Juillard, Jerome
    Jafari, Kian
    Colinet, Eric
    [J]. 18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010), 2010, : 1043 - 1047
  • [2] APPLICATION OF THE WEIGHTED LEAST-SQUARES PARAMETER-ESTIMATION METHOD TO THE ROBOT CALIBRATION
    ZAK, G
    BENHABIB, B
    FENTON, RG
    SABAN, I
    [J]. JOURNAL OF MECHANICAL DESIGN, 1994, 116 (03) : 890 - 893
  • [3] The estimation of Pareto distribution by a weighted least square method
    Lu, Hai-Lin
    Tao, Shin-Hwa
    [J]. QUALITY & QUANTITY, 2007, 41 (06) : 913 - 926
  • [4] The Estimation of Pareto Distribution by a Weighted Least Square Method
    Hai-Lin Lu
    Shin-Hwa Tao
    [J]. Quality & Quantity, 2007, 41 : 913 - 926
  • [5] Robust least square method and its application to parameter estimation
    Zhang Mei
    Zhang Chenghui
    Zhang Huanshuil
    Cui Peng
    Du Yanchun
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 1483 - 1486
  • [6] Parameter Identification of DC Motor based on Compound Least Square Method
    Li, Meidong
    Ma, Yanjiao
    [J]. PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 1107 - 1111
  • [7] Parameter Estimation of Geographically Weighted Regression (GWR) Model Using Weighted Least Square and Its Application
    Soemartojo, Saskya Mary
    Ghaisani, Rima Dini
    Siswantining, Titin
    Shahab, Mariam Rahmania
    Ariyanto, Moch. Muchid
    [J]. INTERNATIONAL CONFERENCE ON SCIENCE AND APPLIED SCIENCE (ICSAS) 2018, 2018, 2014
  • [8] A weighted least-squares method for parameter estimation in structured models
    Galrinho, Miguel
    Rojas, Cristian
    Hjalmarsson, Hakan
    [J]. 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 3322 - 3327
  • [9] MRF Parameter Estimation Based on Weighted Least Squares Fit Method
    Wu, Jinyan
    Yang, Bo
    Wang, Lin
    Ma, Kun
    Zhao, Xiuyang
    Zhou, Jin
    [J]. IEEE ICCSS 2016 - 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2016, : 164 - 169
  • [10] Jackknife resampling parameter estimation method for weighted total least squares
    Wang, Leyang
    Yu, Fengbin
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (23) : 5810 - 5828
12345