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
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;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.616355