• Chinese Journal of Ship Research
  • Vol. 20, Issue 1, 38 (2025)
Pengbo SUN1, Zaopeng DONG1, Wei LIU2, Jinliang SHENG1, and Zhihao LI1
Author Affiliations
  • 1School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology,Wuhan 430063, China
  • 2China Institute of Marine Technology & Economy, Beijing 100081, China
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    DOI: 10.19693/j.issn.1673-3185.03816 Cite this Article
    Pengbo SUN, Zaopeng DONG, Wei LIU, Jinliang SHENG, Zhihao LI. Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter[J]. Chinese Journal of Ship Research, 2025, 20(1): 38 Copy Citation Text show less
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    参数数值参数数值
    船长/m11.00型宽/m3.20
    吃水/m0.63质量/t8.00
    Table 1. Main parameters of unmanned surface vehicle
    参数数值参数数值
    $ {a'_1} $−4.72×10−5$ {a'_2} $0.009 8
    $ {a'_3} $2.02×10−5$ {a'_4} $−0.001 5
    $ {X'_{uu}} $−0.457 8${X'_{vv}}$0.893 1
    $ {X'_{vr}} $0.199 6${X'_{rr}}$−0.082 7
    $ {b'_1} $1.90×10−4$ {b'_2} $−0.014 1
    $ {b'_3} $8.95×10−6$ {b'_4} $−7.89×10−4
    $ {Y'_v} $−0.376 2${Y'_r}$0.226 4
    $ {Y'_{\left| v \right|v}} $0.376 0$ {Y'_{\left| r \right|r}} $−0.099 6
    ${Y'_{vvr}}$−1.653 8${Y'_{vrr}}$1.130 4
    ${c'_1}$1.24×10−4${c'_2}$−0.006 7
    ${c'_3}$7.96×10−6${c'_4}$−6.19×10−4
    $ {N'_v} $−0.014 6${N'_r}$−0.004 2
    $ {N'_{\left| v \right|v}} $0.008 2$ {N'_{\left| r \right|r}} $−0.008 7
    ${N'_{vvr}}$−0.048 3${N'_{vrr}}$0.130 8
    Table 2. EKF parameter identification results
    参数数值参数数值
    $ {a'_1} $−3.88×10−5$ {a'_2} $0.009 1
    $ {a'_3} $239×10−5$ {a'_4} $−0.001 9
    $ {X'_{uu}} $−0.447 0${X'_{vv}}$0.611 5
    $ {X'_{vr}} $0.293 2${X'_{rr}}$−0.100 6
    $ {b'_1} $1.94×10−4$ {b'_2} $−0.013 7
    $ {b'_3} $5.81×10−6$ {b'_4} $−5.45×10−4
    $ {Y'_v} $−0.285 0${Y'_r}$0.179 0
    $ {Y'_{\left| v \right|v}} $−2.205 4$ {Y'_{\left| r \right|r}} $−0.045 3
    ${Y'_{vvr}}$−10.396 1${Y'_{vrr}}$−0.310 8
    ${c'_1}$1.16×10−4${c'_2}$−0.006 1
    ${c'_3}$8.82×10−6${c'_4}$−6.78×10−4
    $ {N'_v} $−0.015 1${N'_r}$−0.004 4
    $ {N'_{\left| v \right|v}} $0.024 9$ {N'_{\left| r \right|r}} $−0.007 4
    ${N'_{vvr}}$−0.060 7${N'_{vrr}}$0.127 6
    Table 3. Improved EKF parameter identification results
    uvr$ \psi $
    EKF0.194 20.153 41.245 712.788 4
    改进EKF0.176 90.124 50.996 310.351 2
    相对误差/%−8.91−18.84−20.02−19.06
    Table 4. Comparison of RMSE values of simulation data
    uvr$ \psi $
    EKF0.865 315.365 92.864 50.942 4
    改进EKF0.694 314.856 92.195 60.689 5
    相对误差/%−19.76−3.31−23.35−26.84
    Table 5. Comparison of SMAPE values of simulation data
    Pengbo SUN, Zaopeng DONG, Wei LIU, Jinliang SHENG, Zhihao LI. Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter[J]. Chinese Journal of Ship Research, 2025, 20(1): 38
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