Title :
The modeling and simulation of ship main engine based on neural network
Author :
Xiao, Jianmei ; Wang, Xihuai ; Bao, Minzhong
Author_Institution :
Shanghai Maritime Univ., China
Abstract :
This paper presents a ship main engine model with RBF neural network using the actual data of MAN B&W 6L80MC ship engine. The master-slave simulator for ship engine and control system is developed based on the engine model, the upper computer is a PC with human-machine interface, and the lower computer is a microcontroller to control the engine model through simulation console. The simulators have been opened for training students and seamen at several maritime colleges and ship enterprises in China since 2000.
Keywords :
computer based training; digital simulation; engines; microcomputer applications; microcontrollers; naval engineering computing; propulsion; radial basis function networks; ships; China; MAN B&W 6L80MC ship engine; PC; RBF neural network; human-machine interface; maritime colleges; master-slave simulator; micro-controller; microcontroller; seaman training; ship control system; ship enterprises; ship main engine modeling; ship main engine simulation; student training; Computational modeling; Computer interfaces; Computer simulation; Control system synthesis; Engines; Man machine systems; Marine vehicles; Master-slave; Microcontrollers; Neural networks;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022081
