2009 International Conference on Advances in Recent Technologies in Communication and Computing
Modeling and Analysis of DC Traction System in Light of Recent Innovations
from HPC and Virtual Reality
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Satyadhar Joshi , Rohit Pathak , Anil Jain
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Shri Vaishnav Institute of Technology & Science, Indore, M.P., India
Acropolis Institute of Technology & Research, Indore, M.P., India
satyadhar_joshi@yahoo.com, xrohit@hotmail.com, anil.jain128@gmail.com
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Abstract- We have developed a library for simulation of DC
traction system. The modeling, installation and reliability
aspects of Traction system in purview of current developments
in HPC and Virtual reality are being implemented. We have
proposed a model to predict and analyze traction system more
comprehensively and put a computational structure regarding
the same. Distribution of various computations is shown in an
HPC setup and has been implemented. The advantages of
Virtual reality in installation in city and intercity, driving has
been implemented on C# for an HPC setup. Installation of VR
framework for installation of DC traction thus has been
implemented in the current technologies of HPC and VR.
I.
locomotive pantograph on a DC railway system are
considered and shown in [8]. Modeling and numerical
solution of multi branched DC rail traction power systems
is an area which has seen some interesting work in recent
years [9]. A complex multi ladder, multi branched DC
traction power system has been modeled and solved using
different circuit solution methods [10], thus its form a part
for the modeling aspects of the system .Development in DC
traction power supply rectifiers has been shown in [10].
Light Rail Transit DC Traction Power System Surge
Overvoltage Protection is another important parameter [11].
Once of recent example of application of modern
techniques is Fuzzy logic based study for traction system
[4]. Importance of our work in light of recent work in DC
Traction System is implemented in this project.
INTRODUCTION
Traction system plays a very important role in current
hybrid electrical cars and also in railways installations. The
importance of Hybrid cars is eminent, and the needs to
install rail metros are important to lessen the burden from
conventional oil based transport system. The need of
traction system under current scenarios is undoubted and
thus a strong modeling aspect needs to be built. As we can
see from the recent innovations we have the analysis where
we have various innovations in different domains which
need to be interlinked.
1500V DC Traction System for the North East Line for
Singapore state has been described in [1], which shows
about the power supply and other important features, it was
installed in 2004. It is one of the first driverless steel-wheel
mass rapid transit systems operating in the world. Overview
of DC Traction Protection Scheme for Singapore Rapid
Transit System has been described in [2] where DC specific
protection has been discussed. Fuel cells hybrid system for
railways has been shown in [19], in this work experimental
Study on a PEMFC Fed Railway Vehicle Motor Drive
System is performed. Some aspects of Modeling of Electric
Traction Motor Drives for Hybrid Electric Vehicle have
been shown in [18]. Regeneration inverter system for DC
traction has been discussed in [3]. In [5], a model for DC
traction regeneration inverter to regenerate extra power to
the AC power source and reduce harmonics in rectification
mode has been proposed. In this project fuzzy logic has
been implemented in the area of system protection. It has
been proposed that the combination of fuzzy logic will
improve the safety of the operations. The electrical behavior
of the sample steel traction rails is analyzed, considering the
resistance and internal inductance in [6]. DC traction
system grounding has been shown in [7], thus grounding
plays a very important role in this regard. Various
grounding methods for various elements are also shown.
The main sources of variations of the impedance at the
978-0-7695-3845-7/09 $26.00
$25.00 © 2009 IEEE
DOI 10.1109/ARTCom.2009.229
II. MODELING OF TRACTION SYSTEM USING HPC AND
VIRTUAL REALITY
Virtual reality for industrial building construction has
been shown in [16], this has been done in 2008. Application
of virtual reality has been shown for interactive city
exploration has been shown in [17] which have been done
in 2008. HPC can be used for modeling, installation and
implementation of DC traction system where many
complex computation need to be taken into consideration.
Parts of Traction, environmental implications, reliability
calculations for long termed analysis can be done on HPC
also can be aided with virtual reality. Power source
modeling also play an important role in this regard. Use of
advanced materials and reduction of maintenance are the
areas that can be worked upon. We can feed the date from
Google earth in the system and work all in virtual reality
about the place elevations, cutting though other parts
There are many new implementation and computations
that needs to be done in a modern traction system, like
modern complex analysis of behavior of Traction system.
Reliability under various working environments can be
calculated by using the model. Installation and modeling of
DC traction system in metros and intercity installations can
be aided by the use of this engine in Virtual reality to
simulate the environment. Modeling thermal analysis on
HPC can also be done using the engine developed. Also the
effect of Power usage, Power Systems Distributions and
power supply calculations can be performed. Modeling
libraries in Matlab can be used to implement the project.
But HPC Matlab Toolbox is not as good in performance
and system level implementation cannot be performed.
Virtual reality XNA .Net framework C# is shown below. In
table I we have shown the various parameters that can be
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distributed, recent research in reliability engineering for
traction can prove to be useful and the results can be
modeled using this architecture [12, 13, and 15].
Virtual Reality Framework
Microsoft C#
TABLE I
VARIOUS CALCULATIONS FOR HPC
Area
Property and theory
Reliability and maintenance[12, 13]
Reliability is complex
Electrical calculations
Thermal Calculations
Environmental calculations ex.
Corrosion [14]
Advanced materials
Complex calculations
Long term thermal effects
Seasonal effects
Composite materials
TABLE 2
VIRTUAL REALITY PARAMETERS FOR TRACTION SYSTEMS
Area of virtual reality
Property
Installation of Traction system
(image processing)
Accident Calamity detection and
post calamity computations
Use of satellite and VR
Driving of train (physics and
graphics )
Use of VR for driving
Diverting to HPC setup
HPC can be attached to VR setup
Extreme
Optimization
Numerical Library
for .NET
Computation
Engine
Microsoft .NET
Framework
MPI .NET
Microsoft XNA
Framework
Supercomputing
Engine
Virtual Reality
Engine
Graphics Engine
Use of HPC for predicting reliability
Fig. 2. Framework used for the development of the Library and merging it
with HPC on C Sharp.
The above modeling is done in XNA on Visual Studios
2005, and the model is comprehensive in itself to predict all
parameters of DC traction system and perform extreme
complex computation. Screenshots of City for DC traction
installations has been shown. Intercity Traction installations
can be taken from satellite and prediction of traction system
can be fed directly into the system. For example Google
earth photos can be used as shown in fig.1. If we assume
installation of traction system in Indore we can move ahead
on our proposed method collecting data as shown below.
These are the views from Google Earth of Indore a city in
Central India where we proposed to use this Virtual reality
engine to perform complex computation on HPC system for
traction installations.
III. VIRTUAL REALITY ENGINE
We have shown a virtual reality engine to installation and
control of Traction systems which will use HPC setup to
perform the complex computation. This engine can be used
for various calculations for traction systems, by gathering
photos which is converted into virtual reality system as
shown. The way it is different from any other engine is that
it is capable to use resources from an HPC setup and has all
the features of the DC traction system.
Fig. 1. Merging of VR Engine from the Data taken from Google Earth to
the VR models and showing planning placement of installations.
The framework has four main engines namely
Computation Engine, Graphics Engine, Super-Computing
Engine and Virtual Reality Engine. Computation Engine is
the module that handles all the computations involved in
running the Virtual Reality Framework. This engine uses
Extreme Optimization Numerical Library for .NET. Details
of the architecture are shown in Fig.2.
Fig. 3. Building of System for the desired purpose, which has been the out
of the 3D HPC VR setup developed.
We can take various pictures at different zoom levels and
can feed them to get a 3D outline for the installations, thus
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this would require high computation power. Thus the output
of the system is shown in Fig.3.
IV. CONCLUSION AND FUTURE SCOPE
[14]
Applications of HPC and virtual reality have been shown
in doing comprehensive analysis of various parameters
Traction systems. With the advent of HPC in calculating
various parameters and their distribution has been shown
for various areas for simulation of large DC traction system,
3D engine, physics calculations etc. Future scope lies with
use of nanotechnology based materials and fuel cells for
more efficient and hybrid tractions and drives. We clearly
see the importance of using Virtual reality and its
advantages in DC traction system in this paper. HPC is
being implemented and it can be expanded to get more
complex computation done. Diverting of calculations for a
Virtual reality system to an HPC setup has been shown.
[15]
[16]
[17]
[18]
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