Abstract
In order to solve the identification problem for ship response model parameters, the method using Kalman filter algorithm was developed. Firstly, the first order linear, first order nonlinear and second order linear models were established. Then they were dispersed, and the parameters of the models were identified using Kalman filter algorithm. At last, simulation experiment was carried out. The simulation results show that the algorithm is able to identify the ship motion parameters online accurately and efficiently, and it is feasible and effective.
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References
Li Guanglei, Zang Tao, Fan Zhou, Han Bing (2011) Application of parameter identification to ship motion control. Mar Electr Electron Technol 31:46–50,54 (in Chinese)
Chen Weiqi, Yan Kai, Wang Baoshou (2011) Intelligent identification of Hydrodynamic parameters of navigating body. J Ship Mech 15:359–363, in Chinese
Xu Feng, Zou Zaojian, Song Xin (2011) Parametric identification of AUV’s maneuvering motion based on support vector machines. J Ship Mech 15:981–987
Wang Bo (2009) Research on motion simulation of a small underwater vehicle. Harbin Engineering University, Harbin (in Chinese)
Xu Feng, Zou Zaojian, Yin Jianchuan (2012) On-line modeling of ship maneuvering motion based on support vector machines. J Ship Mech 16:218–225
Haddara MR, WangY (1999) Parametric identification of maneuvering models for ships. International Shipbuilding Progress 46:5–27
Zhang Xinguang, Zou Zaojian (2011) Identification of response models of ship manoeuvring motion using support vector regression. J Shang Hai Jiaotong Univ 45:501–504 (in Chinese)
Wan EA, van der Merwe R (2000) The unscented Kalman filter for nonlinear estimation. Proc Symp Adaptive Syst Signal Process Commun Control 1:153–158
Grewal MS, Andrews AP (1993) Kalman filtering: theory and practice. Englewood Cliffs, New Jersey
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© 2014 Springer International Publishing Switzerland
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Qin, Y., Zhang, L. (2014). Parametric Identification of Ship’s Maneuvering Motion Based on Kalman Filter Algorithm. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_11
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DOI: https://doi.org/10.1007/978-3-319-01273-5_11
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Online ISBN: 978-3-319-01273-5
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