DocumentCode :
3528070
Title :
Fuzzy logic based automatic braking system in trains
Author :
Sankar, G. ; Kumar, S. Saravana
Author_Institution :
Bannari Amman Inst. of Technol., Sathyamangalam
fYear :
2006
fDate :
19-21 Dec. 2006
Firstpage :
383
Lastpage :
387
Abstract :
This paper focuses on a new approach to braking system in train, by the using the technique of artificial intelligence applied to it. The intelligence for braking is provided by a fuzzy logic controller. The fuzzy logic controller is simulated using Matlab-Simulink fuzzy logic toolbox. Generally the Indian railways use two persons to operate a train and they employ a manual procedure for stopping the train in each station. The proposed fuzzy logic controller helps in reduction of manpower for the train operation. The simulated fuzzy logic controller gets activated at about 500 m from the station based on its decision with reference to the speed and distance, the train stops at the station smoothly and automatically.
Keywords :
braking; fuzzy control; locomotives; railways; vehicle dynamics; Indian railways; Matlab-Simulink fuzzy logic toolbox; artificial intelligence technique; automatic braking system; fuzzy logic controller; trains; Artificial intelligence; Automatic control; Computer languages; Control equipment; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Power electronics; Rail transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, 2006. IICPE 2006. India International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-3450-3
Electronic_ISBN :
978-1-4244-3451-0
Type :
conf
DOI :
10.1109/IICPE.2006.4685402
Filename :
4685402
Link To Document :
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