Development of train control system using fuzzy logic
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5849/ http://eprints.uthm.edu.my/5849/1/UMI_MARIANA_MAMAT.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|