BP neural network based PID control for ship steering

Author

Xingxing Huo ; Jiangqiang Hu ; Zeyu Li

Author_Institution

Navig. Coll., Dalian Maritime Univ., Dalian, China

fYear

2012

fDate

Oct. 30 2012-Nov. 2 2012

Firstpage

1042

Lastpage

1046

Abstract

A new kind of algorithm of controller for ship is proposed. BP neural network based PID control is one of artificial neural networks which can emulate ship´s manual steering as autopilot for ship steering. This paper introduces the principle, characteristics and learning algorithm of the BP neural network. Getting BP neural network based PID control for ship steering by combining BP neural network and traditional PID. Making use of MATLAB, simulate this new kind of controller for ship in consideration of disturbances of wind, wave and current and without them respectively. The simulation shows that the BP neural network based PID control for ship steering can improve the robustness of the system and has better adapt ability to the ship model etc.

Keywords

backpropagation; marine control; neurocontrollers; robust control; ships; steering systems; three-term control; BP neural network; PID control; artificial neural networks; controller algorithm; current disturbances; learning algorithm; ship steering; system robustness improvement; wave disturbances; wind disturbances; Biological neural networks; Educational institutions; MATLAB; Marine vehicles; Mathematical model; PD control; BP neural network; algorithm; emulate; ship steering; traditional PID;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies (WICT), 2012 World Congress on

Conference_Location

Trivandrum

Print_ISBN

978-1-4673-4806-5

Type

conf

DOI

10.1109/WICT.2012.6409228

Filename

6409228