Real time parameters identification of ship dynamic using the extended Kalman filter and the second order filter

We consider the techniques of on-line parameter identification for a simplified model of ship dynamic. In the past two decades, there is an increase in the use of the extended Kalman filter (EKF) algorithm in estimating parameters from noisy data; this algorithm and an improved EKF the second order filter (SOF), will be used in this paper. The parameters, which are generated theoretically from a ship dynamic model with one propeller moving in the forward direction, are identified via computer simulation under differential scenarios.