Dynamic Parameter Estimation of a Nonlinear Vessel Steering Model for Ocean Navigation

Author(s):  
Lokukaluge P. Perera ◽  
Paulo Oliveira ◽  
C. Guedes Soares

In this paper the stochastic parameters describing the nonlinear ocean vessel steering model are identified, resorting to an Extended Kalman Filter. The proposed method is applied to a second order modified Nomoto model for the vessel navigation that is derived from first physics principles. The results obtained resorting to a realistic numerical simulator for the nonlinear vessel steering model considered are illustrated in this study.

Author(s):  
Lokukaluge P. Perera ◽  
P. Oliveira ◽  
C. Guedes Soares

In this paper, the stochastic parameters describing a nonlinear ocean vessel steering model are identified, resorting to an extended Kalman filter (EKF). The proposed method is applied to a second-order modified Nomoto model for vessel steering and that is derived from first physics principles. Furthermore, the results obtained resorting to a realistic numerical simulator of nonlinear vessel steering are also illustrated in this study.


Author(s):  
J. Quiroz ◽  
R. Perez ◽  
H. Chavez ◽  
Julia Matevosyan ◽  
Felix Rafael Segundo Sevilla

2019 ◽  
Vol 52 (29) ◽  
pp. 116-121 ◽  
Author(s):  
S. Razvarz ◽  
R. Jafari ◽  
C. Vargas-Jarillo ◽  
A. Gegov ◽  
M. Forooshani

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