Title :
Estimation of low-frequency motion for ship Dynamic Positioning
Author :
Linkai Xu ; Haixiang Xu ; Hui Feng ; Wenjuan Li ; Dehua Bu ; Xin Song
Author_Institution :
Sch. of Transp., Wuhan Univ. of Technol., Wuhan, China
Abstract :
To avoid the excessive activity (wear and tear) of the propulsion system in Dynamic Positioning, the Kalman filter is proposed to remove the disturbance caused by noise and the high-frequency motion of ship and estimate the low-frequency motion of ship including position and heading information for a specific ship model in this paper. Simulation results indicate that the estimation of the low-frequency motion for ship Dynamic Positioning by the Kalman filter is valid.
Keywords :
Kalman filters; marine propulsion; motion estimation; position control; ships; Kalman filter; low-frequency motion estimation; propulsion system; ship dynamic positioning; ship high-frequency motion; Dynamics; Kalman filters; Marine vehicles; Mathematical model; Position measurement; Sea measurements; Vehicle dynamics; Kalman filter; Ship dynamic positioning; high-frequency motion; low-frequency motion;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818247