Title :
Automatic train operation system based on predictive fuzzy control
Author :
Oshima, Hiroyasu ; Yasunobu, Seiji ; Sekino, Shin-Ichi
Author_Institution :
Hitachi Ltd., Tokyo, Japan
Abstract :
A predictive fuzzy control including control rules to achieve desirable conditions has been proposed and applied to an automatic train operation (ATO) system. The capability of the fuzzy ATO to control train operation as skilfully as experienced operators was confirmed by a trial run made in the Sendai municipal subway system. The control rules of the fuzzy ATO and results of the test run are described.<>
Keywords :
automatic guided vehicles; fuzzy logic; locomotives; predictive control; rail traffic; traffic computer control; ATO system; Sendai municipal subway system; automatic train operation; control rules; fuzzy ATO; predictive fuzzy control; test run; trial run; Automatic control; Bismuth; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy systems; Indium tin oxide; Industrial control; Industrial training; Testing;
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
DOI :
10.1109/AIIA.1988.13336
