Title :
A ship automatic navigation in dynamic environment using artificial intelligence
Author :
Lee, S.B. ; Il Kim
Author_Institution :
Fuzzy-Neuro Control Lab., Korea Maritime Univ., Pusan, South Korea
Abstract :
Discusses automatic navigation of a ship using the features of fuzzy control in a dynamic sea environment. On the deep sea, because spatial limitations don´t exist, the need for automatic navigation for obstacle avoidance is small, but on inshore waters, because of the many obstacles (e.g. islands, other ships, etc.), the need for automatic navigation for avoidance is great. Therefore, we used a multivariable fuzzy logic control (M-FLC) system for safer automatic navigation. The fuzzy control system showed that it had an excellent performance in a dynamic environment. Thus, if the fuzzy control system proposed were used, we would expect a good performance
Keywords :
collision avoidance; computerised navigation; fuzzy control; intelligent control; multivariable control systems; ships; artificial intelligence; automatic ship navigation; deep sea; dynamic sea environment; inshore waters; multivariable fuzzy control system; obstacle avoidance; performance; safety; Artificial intelligence; Automatic control; Automation; Fuzzy control; Fuzzy systems; Marine vehicles; Navigation; Safety; Sections; Vehicle dynamics;
Conference_Titel :
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-6400-7
DOI :
10.1109/KES.2000.885845