DocumentCode
3478523
Title
An antislipping fuzzy logic controller for a railway traction system
Author
García-Rivera, Matias ; Sanz, Rafael ; Pérez-Rodríguez, José A.
Author_Institution
Dept. de Ingenieria de Sistemas y Automatica, Vigo Univ., Spain
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
119
Abstract
A controller has been designed to avoid the wheel-rail slipping in a scale model of a train. This scale model is being employed because of the difficulties in testing this nonlinear phenomenon in a real locomotive. The controller uses rules based on the knowledge about the slipping behavior of a skilled human operator; it has been developed using a fuzzy logic approach. Different simulations have shown that this fuzzy antislipping controller works satisfactorily decreasing the torque to be applied to the electrical drive when the slipping situation has been detected, and reducing both the slipping value and the time spent in recovery adherence
Keywords
fuzzy control; locomotives; nonlinear control systems; railways; slip; test facilities; transport control; antislipping fuzzy logic controller; fuzzy antislipping controller; locomotive; railway traction system; recovery adherence; scale model; train; wheel-rail slipping; Control systems; Expert systems; Fuzzy control; Fuzzy logic; Humans; Nonlinear control systems; Rail transportation; Testing; Torque control; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616355
Filename
616355
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