Economy/regularity fuzzy-logic control of DC railway systems using event-driven approach

A methodology for predictive fuzzy control in an event-driven environment for multiobjective decision making on DC railway systems is presented. Railway operation is assessed by a set of performance indices, and the aim of fuzzy control is to score the best performance among these indices. In particular, the paper addresses regenerative braking in DC railways. The proposed methodology is implemented in two control loops: on each traction station and on each train dwell time at passenger stations.