Title :
Parameter estimation of ship linear maneuvering models
Author :
Revestido, E. ; Velasco, F.J. ; Zamanillo, I. ; López, E. ; Moyano, E.
Author_Institution :
Dept. Electron. Technol. Syst. Eng. & Autom. Control, Univ. Cantabria, Santander, Spain
Abstract :
In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman filter for the states estimation. It is suggested two cases of study: one in simulation and another one with data acquired in open waters. Thus, it is posible to quantify the statistical properties of the estimator by means of Monte Carlo simulation and to validate the model with simulated and acquired data.
Keywords :
Kalman filters; Monte Carlo methods; navigation; parameter estimation; ships; state estimation; Kalman filter; Monte Carlo simulation; parameter estimation; prediction error methods; ship linear maneuvering models; standard zig-zag maneuver; state estimation; statistical properties; Data models; Marine vehicles; Mathematical model; Noise; Noise measurement; Parameter estimation; Propellers;
Conference_Titel :
OCEANS, 2011 IEEE - Spain
Conference_Location :
Santander
Print_ISBN :
978-1-4577-0086-6
DOI :
10.1109/Oceans-Spain.2011.6003588
