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International Journal of
Electrical Machines
& DrivesIJEMD
JUL–DEC 2016
Mechanical Engineering
Electronics and Telecommunication Chemical Engineering
Architecture
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¬ International Journal of Thermal Energy andApplications
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and Design¬ International Journal of Manufacturing and
Materials Processing¬ International Journal of Mechanical Handling and
Automation
« International Journal of Radio Frequency Design« International Journal of VLSI Design and Technology« International Journal of Embedded Systems and Emerging
Technologies« International Journal of Digital Electronics« International Journal of Digital Communication and Analog
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IIT Kanpur, Kanpur, India
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Department DTU, Delhi, India
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Bangalore, India
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Phagwara, Punjab, India
Dr. Sanjevi Kumar PadmanabanDepartment of Electronics Engineering,
Indian School of Mines, Dhanbad, Jharkhand, India
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Manish Kumar SrivastavaDepartment Electrical Engineering, Allahabad
Institute of Engineering & Technology, Allahabad, India
Ankur GangulyBatanagar Institute of Engineering
Management & Science, Techno India Group,Kolkata, India
Hemant Kumar NayakDepartment Of Mechanical Engineering,NIST, Palur Hills, Berhampur, Odisha,
India
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Madhav Institute of Technology & Science, Gwalior, India
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From the Editor's Desk
Dear Readers,
We would like to present, with great pleasure, the inaugural volume of a new scholarly
journal, International Journal of Electrical Machines & Drives. This journal is part of the
Electrical Machines & Drives, and is devoted to the scope of present Electrical
Engineering issues, from theoretical aspects to application-dependent studies and the
validation of emerging technologies.
This new journal was planned and established to represent the growing needs of International Journal of
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International Journal of Electrical Machines & Drives focuses on original high-quality research in the
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Machines, Adjustable Torque Drives, DC and AC electric motor drives, Electric Motor Drives, Motor
controller algorithm, Microcontroller or digital signal processor, Fault protection and diagnostics, Power
Electronics and Pulsed Power.
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Machines & Drives and solutions in the area.
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Puneet Mehrotra
Managing Director
1. Research Study on Switched Reluctance Drives Using Matlab Syed Abdur Rauf Magrabi, Deepa Nidanakavi 1
2. Modelling of Dual Controlled Maglev ISP System Dommeti Rajesh, Jakkani Sivanaidu, Anusha Gunda, Mallikarjuna Rao Pasumarthi 7
3. Performance Analysis of Grid Connected Hybrid AC/DC Microgrid Using Various Renewable Energy SourcesBalaji Kodanda Ram B.P.U.S. Rompicherla, Raghu Chandra Garimella 16
4. An Intelligent Electric Vehicle (IEV) Using LabVIEWAmit Yadav, Nitin Yadav 25
5. Development of Hybrid (Fuzzy+PI) Controller for Speed Control of Induction MotorMukesh Kumar, Kavita Yadav, Abrar Ahmed, Vinod Kumar 34
Contents
IJEMD (2016) 1-6 © JournalsPub 2016. All Rights Reserved Page 1
International Journal of Electrical Machines & Drives Vol. 2: Issue 2
www.journalspub.com
Research Study on Switched Reluctance Drives Using Matlab
Syed Abdur Rauf Magrabi*, Deepa Nidanakavi
Sphoorthy Engineering College, Hyderabad, India
ABSTRACT
With the vitality deficiency and natural issues in present day society, numerous created
nations pay consideration on the exploration on the electric vehicle which can understand the
vitality sparing. The electric machine is a key part of the electric vehicle. Furthermore, the
switched reluctance motor takes a great deal of benefits contrasting with the other engine so
it turns into the preferred machine. The switched reluctance motor drive framework structure
is basically presented firstly in this paper, and after that the exploration advancement of it is
compressed, including the switched reluctance motor drive outline, the control technique, the
position identification innovation and the vibration and noise.
Keywords: MATLAB, PMSM, switched reluctance motor, switched reluctance motor drive
system, sensor less
INTRODUCTION
SRD is an advanced mechatronics device.
There are four basic parts in the SRD as
shown in Figure l, namely, SRM, position
sensor, power converter and control
circuit. The SRM is the key part which
outputs the mechanical energy, and its
rotor and stator are both composed by
salient poles.
The power converter which is the power
provider of the SRM connects the power
source to the motor.[1]
Numerous arrangements have been
proposed for low-cost motor drives and the
greater part of them rotate around the
utilization of single-phase switched
reluctance motor (SRM) with stopping
permanent magnets on the stator and two-
switch-based asymmetric converter, or
two-stage SRM with three-switch-based
converter and single-stage permanent-
magnet brushless dc engine drives with
four-controllable-switch-based converter,
to say a couple,[1]
and different varieties in
the writing excessively various, making it
impossible to say here.
Utilization of single-stage and three-stage
induction engines with four-controllable-
switch-based inverters has been
endeavored.
A large number of these arrangements,
however giving profoundly alluring
execution, are yet to be held onto as their
expense is so far inadmissible in the
machine ventures.
The components that are generally referred
to in the business for not grasping the
some time ago proposed arrangements are
numerous.
Some of these elements are given
underneath, and these served as a compass
for the creators to guide far from these
worries in looking for answers for the
minimal effort engine drives in the
aggressive fragment of the apparatus
industries.
IJEMD (2016) 7-15 © JournalsPub 2016. All Rights Reserved Page 7
International Journal of Electrical Machines & Drives Vol. 2: Issue 2
www.journalspub.com
Modelling of Dual Controlled Maglev ISP System
Dommeti Rajesh, Jakkani Sivanaidu, Anusha Gunda, Mallikarjuna Rao Pasumarthi*
Department of Electrical Engineering, A.U. College of Engineering, Andhra University,
Visakhapatnam, AP, India
ABSTRACT
High precision pointing is one of the most eminent features of an airborne remote image
sensing system. To provide accurate Line of Sight (LOS), the gimbal actuation system torque
disturbance rejection capability is approximately proportion to the bandwidth of the
stabilization loop. This is limited by the structural resonance in large inertially stabilized
platform (ISP). Compared with traditional mechanical ISP, magnetic suspension ISP
(MSISP) can efficiently suppress high frequency of vibrations via a magnetic suspension
bearing system with five degrees of flexibility between azimuth and pitch gimbals. Although,
the force acting between rotor and stator will introduce combine torque to roll and pitch
gimbals. On other hand, complex structure of the magnetically suspended gimballing
introduces the parametric uncertainties into modeling of magnetic suspension force. The
disturbance between the magnetic fields brings the un-modeled force into dynamics of
magnetically suspended gimballing. In this paper, a magnetic levitated system is consider on
top of two axis elevation over Azimuth gimbal system and modeled with all magnetic,
frictional and Physical non- linarites are into consideration. The results are compared
existing mechanical ISP system shows better decoupling isolation with improved bandwidth
characteristics.
Keywords: gimbal system, gyro platforms, inertial stabilization platform, magnetic bearing,
magnetic levitation
INTRODUCTION
The ISP for remote sensing is promising is
to be applied in image sensing system
fixed on the airborne platform and ship-
based platform.[1,2]
Usually, Sensors are
installed on the elevation gimballing, so
stability and control precision of elevation
gimballing are critical to the quality of
image achieved by sensors.[3]
For Normal
mechanical ISP with two axis frames, the
motions of yaw angle and inner pitch
angle are separated by the mechanical
bearing and gear.[4,5]
However, for the
mechanical methods between gimbal
physical contact between the external and
internal gimbal frames, the disturbance of
external gimbal transfer to internal gimbal.
So, the control precision and stability of
elevation gimbal will effect.
Using magnetic levitated bearings instead
of mechanical bearings to combine the
gimbals so as to eliminate friction is one
approach to perform high precision LOS
stabilization. In 1980s, under the support
of the magnetic gimbal fabrication and test
(MGFT) project, a single axis magnetic
gimbal system resulting LOS accuracy
from 3 to 8 µrad with an angular
disturbance of 48 rad/s achieving vibration
rejection of up to 79 dB.[6]
In this
configuration the gimbals are detached
IJEMD (2016) 16-24 © JournalsPub 2016. All Rights Reserved Page 16
International Journal of Electrical Machines & Drives Vol. 2: Issue 2
www.journalspub.com
Performance Analysis of Grid Connected Hybrid AC/DC
Microgrid Using Various Renewable Energy Sources
Balaji Kodanda Ram B.P.U.S. Rompicherla1, Raghu Chandra Garimella
2*
1Department of Electrical and Electronics Engineering, K L University, Andhra Pradesh, India
2Department of Mining Engineering, National Institute of Technology Karnataka, Surathkal, India
ABSTRACT
We in no time appreciate a dominatingly AC electrical distribution system, the engineering
reason for which was designed more than 100 years back. While AC distribution system have
served us well, we ought to intermittently respite to survey what opportunities we have
acknowledged or been precluded by overpowering prevalence from claiming AC electrical
power distribution system. What openings could be acquired by designing DC distribution
into at any rate parts of our present system? What favorable circumstances of the present AC
distribution system ought to be perceived and ensured? This paper proposes a Hybrid
AC/DC Microgrid in organization together with Photo Voltaic (PV) energy, Wind Energy
and Proton Exchange Membrane (PEM) Fuel cells. The Microgrids are turning out to be
progressively appealing to the researchers as a result of the less greenhouse gasses, low
running expense, and adaptability to work regarding utility grid. This paper concentrates on
distribution within premises and low-voltage distribution system. In particular, this paper
tended to the change productivity expenses of receiving different premise AC and DC
distribution system topologies. Hybrid AC/DC Microgrid constitutes free AC and DC
subgrids, where every comparing source and loads are associated with their particular
transports and these transports are interfaced utilizing an interfacing converter. Hybrids
AC/DC Microgrid builds system productivity by reducing numerous turn around
transformations required in ordinary Renewable Energy Sources (RES) mix to grid. A Small
Hybrid AC/DC Microgrid in grid associated model was modelled and simulated in
MATLAB/SIMULINK environment. Simulation results are utilized to demonstrate the steady
operation considering the vulnerability of generations and loads.
Keywords: hybrid power systems, micro grids, solar energy, wind energy, fuel cells,
interfacing converter
INTRODUCTION
Microgrid is a little network developed by
saving many different energy resources
and loads to upgrade overall reliability and
independent advantages. Presently a-days,
it is more liked to coordinate renewable
energy sources to Microgrid to reduce the
CO2 discharge and fossil fuel utilization.
Saved Microgrid can be operated either in
connection to main grid or operated like
isolated “islanded” [1]. Presently a-days,
DC loads like LED’s, Electric Vehicles
and other Electronic Gadgets are being
greatly used because of their inherent
advantages. Three Phase AC Power
systems have existed for over 100 years
because of their efficient transformation at
different voltage levels and transmission
over long distances. Also, inherent
features of rotating machines make it
IJEMD (2016) 25-33 © JournalsPub 2016. All Rights Reserved Page 25
International Journal of Electrical Machines & Drives Vol. 2: Issue 2
www.journalspub.com
An Intelligent Electric Vehicle (IEV) Using LabVIEW
Amit Yadav1*
, Nitin Yadav2
1Department of Electrical Engineering, Faculty of Engineering, DEI, Dayalbagh, Agra, India
2ADRDE, DRDO Lab, Agra, India
ABSTRACT
In this work an introduction to intelligent electric vehicle is presented. Design and
development of intelligent vehicle for intelligent behavior quick output, cost is very cheap and
it avoided the hurdle in his way so it is called safe intelligent electric vehicle. An introduction
of intelligent vehicle that how it changes his performances according to the environment that
can adapt the change as like environment. Also describes the application of intelligent
machines. Intelligence machines number of areas like aerial navigation, sea and space
exploration and multitalented robots are presented.
Keywords: electric vehicle, hardware implementation, LabVIEW software approach
INTRODUCTION
Intelligence is an expression which uses
for human and animals to perform a good
and logical behavior. Now a day’s
intelligence is a big tool for machines and
it used in modern technique to control the
industrial machines. In general intelligence
is the capabilities of autonomously
learning and adapting to the environment
behavior. Machines learn from its
environment, it may not be considered as
intelligent. Ability to adapt new
circumstances and imply in the logical
output is the intelligent system. Intelligent
machine, the first thing normally comes in
our mind is robot. Indeed robots are
invented as substitute of human. However,
robots are performing on the basis of
programming manner and in a fully
controlled intelligent machine. Such robots
are easily failed when the application or
the environment contain some uncertain
condition. Many human mental activities,
such as writing computer program, doing
mathematics, engaging in common sense
reasoning, understanding language and
even driving an automatic vehicle, are said
to ‘Intelligence”. Over the past few years,
several computer systems have been built
that can perform tasks such as these. Most
of work doing like this system taken place
of intelligence and engineering orientation.
If such a science of intelligence could be
developed, it could guide the design of the
intelligent vehicle as well as intelligent
behavior.
INTELLIGENT MACHINES Intelligence has become one of the main
fields of interest.[1]
Intelligence vehicle
attempting a program from computer to
complete the task, until recently. The
learning process in intelligent vehicle
involves acquiring the information from
the environment and the information have
been developed to introduce the machine
learning behavior. To establish the
knowledge about the environment and
generalizing the knowledge base so it can
handle uncertainty of environment. A
number of machine intelligence techniques
have been developed by the research
engineer to overcome the problem of non-
intelligent behavior. The electric vehicle is
IJEMD (2016) 34-41 © JournalsPub 2016. All Rights Reserved Page 34
International Journal of Electrical Machines & Drives Vol. 2: Issue 2
www.journalspub.com
Development of Hybrid (Fuzzy+PI) Controller for Speed Control
of Induction Motor
Mukesh Kumar1*
, Kavita Yadav1, Abrar Ahmed
2, Vinod Kumar
1
1Department of Electrical Engineering, College of Technology and Engineering, India
2Department of Electrical Engineering, Techno India NJR Ins. of Tech., India
ABSTRACT
This paper presents a speed control scheme of an induction motor (IM) using hybrid
(Fuzzy+PI) controller. The Hybrid controller is based on the indirect vector control of
induction motor. The conventional Proportional Integral (PI) controller speed is broadly
used in industry due to its simplicity and robustness, but when the dynamics of the system
changes with the time and operating conditions, the effectiveness of this controller decreases.
In order to overcome the conventional PI limitations the hybrid controller is used. Also this
paper analysis the performance of induction motor in terms of line current, line voltage,
electromagnetic torque, stator flux and speed at constant load conditions. The proposed
scheme based drive has been simulated on MATLAB/Simulink.
Keywords: vector control of induction motor, speed control, hybrid controller,
MATLAB/Simulink software
INTRODUCTION
AC motor drives are used in a large group
of industrial and process applications
requiring high performances. In the high-
performance drive systems, the motor
speed should approximately follow a
specified reference trajectory regardless of
load disturbances, parameter variations,
and model uncertainties. To control the
induction motor speed, the conventional PI
controller is broadly used due to its
simplicity and robustness, but in some
cases, when the dynamics of system
changes with time or with severe operating
conditions, like the overshoot, more rise
time, the oscillation of the torque and the
speed due to the external disturbances and
the sudden changes [1] the effectiveness of
PI decreases and the control quality
deteriorates. Several techniques are used to
overcome these limitations, such as fuzzy,
neuro-fuzzy, genetic algorithm, sliding
mode control, etc. [2]. In many control
applications of industrial drive, the most
used method to control SCIMs is the
vector or field oriented control technique
in order to achieve the superior dynamic
response.
In this paper, the configuration and design
of the hybrid controller for indirect vector
based control of induction motor has been
investigated. The proposed controller has
been successfully simulated on a Simulink
model with the help of fuzzy logic
toolbox. The performance of the proposed
Controller has been successfully compared
with the conventional PI controller. It is
found that the proposed controller is less
sensitive to sudden changes in the speed
command [4, 8].
VECTOR CONTROL
Vector control or field oriented control
(FOC) was proposed by Blaschke to
emulate the characteristics of DC motor in
International Journal of
Electrical Machines
& DrivesIJEMD
JUL–DEC 2016
Mechanical Engineering
Electronics and Telecommunication Chemical Engineering
Architecture
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E-mail: [email protected]
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Biotechnology « International Journal of Industrial Biotechnology and
Biomaterials« International Journal of Plant Biotechnology« International Journal of Molecular Biotechnology« International Journal of Biochemistry and Biomolecules« International Journal of Animal Biotechnology and
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Nursing « International Journal of Immunological Nursing« International Journal of Cardiovascular Nursing« International Journal of Neurological Nursing« International Journal of Orthopedic Nursing« International Journal of Oncological Nursing
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