smart train
Subject Areas : Electrical engineering (electronics, telecommunications, power, control)
Narges Shafaei
1
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Keywords: smart, fuzzy, train,
Abstract :
The increase of railway trffic and the need for higher speeds have burdened the task of train drivers more than before. Factors such as reducing accidents, increasing safety and passenger comfort, optimizing and managing energy consumption, have forced the traditional and driver-based control and signalling system to move towards Automatic Train Control (ATC) systems. In our country, the locomotives has been equipped with ATC system for about a decade. In this thesis, the aim is to design an ATC system suitable for the conditions of Iranian railways using fuzzy logic. For this purpose, the model of a locomotive with ER24PC locomotive parameters has been described to solve the problem mathematically and with simulating. The speed profile of passenger trains with top drivers that traveling on the Mashhad-Kashmar route was extracted through ATC system logs to satisfy the passenger comfort. Fuzzy controller is proposed in order to automatically control the train, which includes three stages of acceleration, deceleration and braking. The goals of this controller is to track the desired speed profile and reduce energy consumption, and its performance has been compared with a classical PI controller. As an innovative solution for updating the controllers according to train condition changes, the locomotive’s mass and brake weighted percentage were used as fuzzy output filter and PI coefficients.
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