Title :
A linear signal filtering smoothing algorithm for ship dynamic positioning
Author :
Jianbin, Xiong ; Qinruo, Wang ; Yijun, Liu ; Baoyu, Ye ; Haoyi, Wu
Author_Institution :
Guang Dong Univ. of Technol., Guang Zhou, China
Abstract :
The algorithm based on extended Kalman filter and in combination with linear smoothing was proposed in this paper, as there are some deviations larger abnormal values in measurement of the ship position system. And this method was used to process nonlinear continuous system. It was applied to ship dynamic positioning. First, we deep analyze nonlinear model of ship dynamic positioning, then turn it into a linear model. Second, discrete linear model of ship dynamic positioning, finally, filter using the extended Kalman filter algorithm and smooth filtered signal using smoothing linear algorithm. The experimental results show that the method was simple, reasonable, effective and easy for real-time applications.
Keywords :
Kalman filters; discrete systems; nonlinear filters; position control; ships; smoothing methods; discrete linear model; extended Kalman filter algorithm; linear signal filtering smoothing algorithm; nonlinear continuous system; ship dynamic positioning; ship position system measurement; Force; Heuristic algorithms; Kalman filters; Marine vehicles; Mathematical model; Wiener filters; Kalman filtering algorithm; Ship dynamic positioning; discretization; linear smoothing algorithm;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3