Iterative learning control of nonlinear marine course system

Author

Chen, Jing ; Fu, Jing-qi ; Wang, Yang

Author_Institution

Inst. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China

fYear

2011

fDate

15-17 July 2011

Firstpage

1369

Lastpage

1372

Abstract

The paper analyze the mathematical model of ship steering system and propose a control algorithm of ship steering system based on iterative learning control. In the article, we describe the principle of iterative learning control, analyze the dynamic equation of ship steering system, and demonstrate the convergence of corresponding updating law. The numerical simulations show that iterative learning control overcomes the difficult to establish accurate mathematical model of the ship steering system, and improves learning control convergence and convergence rate, the algorithm is efficient and worthy.

Keywords

gears; iterative methods; learning systems; marine control; nonlinear control systems; ships; steering systems; iterative learning control convergence; nonlinear marine course system; ship steering system control algorithm; ship steering system dynamic equation; Control systems; Convergence; Equations; Gears; Marine vehicles; Mathematical model; Steering systems; Convergences; Iterative learning control; Ship steering gear; Updating law;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5987199

Filename

5987199