UTHM Institutional Repository

Development of train control system using fuzzy logic

Mamat, Umi Mariana (2014) Development of train control system using fuzzy logic. Masters thesis, Universiti Tun Hussein Onn Malaysia.

[img]
Preview
PDF
UMI_MARIANA_MAMAT.pdf

Download (3MB)

Abstract

Railroad is an important mode of transportation for passenger and freight services. The capacity of rail network is increasing every year to improve passenger journeys and to support economic growth. Railway safety is a major focus in railway transportation system in most of the country in the world. The occurrence and frequency of train accidents has been escalating year by year due to the increasing of railway network. Many major train accidents occurred due by failure of track, equipment, human factors, signal, asld miscellaneous. In this study, an automatic train control system using predictive fizzy controller that uses rules based on a skilled hostker experience has been proposed and simulated using Matlab Sirnulink software. The Matlab S i m W model is designed based on 16.65 kilometres railroad layout fiom Station A to Station B within 1030 seconds travel time. The train model used for the Simulink simulation is 22 tonnes two-car train and its stability control was performed using a tuning PID control. In the simulations, two types of input variable are used which are train weight and weather. The main objective of this automatic train operation is to prevent collision and ensuring reliable performance. The fuzzy controller selects the most likely control output and also direct evaluation of the control objective. The proposed fuzzy controller has been applied for automatic train operation where the control system was developed based on the evaluation of safety, riding comfort, accuracy stop gap and running time. The results from nine simulations of different inputs parameters shows that the train has stop accurately at 16.65 kilometres fiom Station A to Station B in duration between 17 minutes 12 seconds to 18 minutes 2 seconds and the average stopping time for the train is about 30 seconds. This demonstrated that fuzzy controller could be used to operate the train for automatic train control representing an expert hostler. Therefore, the proposed train control system using fuzzy controller is an effective method for overcoming collision problem of conventional train control system.

Item Type: Thesis (Masters)
Subjects: T Technology > TF Railroad engineering and operation
Depositing User: Normajihan Abd. Rahman
Date Deposited: 03 Nov 2014 08:26
Last Modified: 03 Nov 2014 08:26
URI: http://eprints.uthm.edu.my/id/eprint/5849
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year