Title :
Online estimation of ship steering dynamics and its application in designing an optimal autopilot
Author :
Le, M.D. ; Nguyen, B.
Abstract :
Recursive least square (RLS) algorithm applied to a multivariate auto-regressive (MAR) process is used to estimate ship steering dynamics online, and then linked to linear quadratic (LQ) algorithm to design an optimal autopilot for ships. Simulation results show the robustness of the estimation method and prove that the autopilot has very good performance during course-keeping and course-changing processes.
Keywords :
autoregressive processes; control system synthesis; least squares approximations; linear quadratic control; recursive estimation; robust control; ships; steering systems; linear quadratic algorithm; multivariate autoregressive process; online estimation; optimal autopilot design; quadratic control; recursive least square algorithm; robustness; ship steering dynamics;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
