Title :
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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987199
