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CHAPTER 1
INTRODUCTION
of research recently due to th
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1. INTRODUCTION
Multiphase (more than three phase) systems are the
focus eir inherent advantages compared to their three-phase
counterparts applicability of multiphase systems is
explored in electric power generation, transmission, and
utilization. The research on six-phase transmission system
was initiated due to the rising cost of right of way for
transmission corridors, environmental issues, and various
stringent licensing laws. Six-phase transmission lines can
provide the same power capacity with a lower phase-to-
phase voltage and smaller, more compact towers compared
to a standard double-circuit three-phase line.
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As far as multiphase motor drives are concerned, the
first proposal was given by Ward and Harrer way back in
1969. The focus of research on multiphase electric drive is
limited to the modeling and control of the supply systems
Little effort is made to develop any static transformation
system to change the phase number from three to n phase
(where n=3 and odd). The scenario has now changed
proposing a novel phase transformation system which
converts an available three-phase supply to an output five-
phase supply.
Multiphase, especially a 6-phase and 12-phase system
is found to produce less ripple with a higher frequency of
ripple in an acdc rectifier system. Thus 6 and 12-phase
transformers are designed to feed a multi-pulse rectifier
system and the technology has matured. Recently 24-phase
and 36-phase transformer systems have been proposed for
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supplying a multi-pulse rectifier system]. The reason of
choice for a 6, 12, or 24-phase system is that these numbers
are multiples of three and designing this type of system is
simple and straightforward. However increase in the
number of phases certainly enhances the complexity of the
system. None of these designs are available for an odd
number of phases, such as 5, 7, 11, etc.
Normally a no-load test, blocked rotor, and load tests
are performed on a motor to determine its parameters.
Although the supply used for a multiphase motor drive
obtained from a multiphase inverter could have more
current ripple, there are control methods available to lower
the current distortion even below 1%, based on application
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and requirement. Hence, the machine parameters obtained
by using the pulse width-modulated (PWM) supply may
not provide the precise true value. Thus, a pure sinusoidal
supply system available from the utility grid is required to
feed the motor. This paper proposes a special transformer
connection scheme to obtain a balanced five-phase supply
with the input as balanced three phases.
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CHAPTER 2
BLOCK DIAGRAM
.
2. BLOCK DIAGRAM
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The block diagram of the proposed system is shown in
Fig. The fixed voltage and fixed frequency available grid
supply can be transformed to the fixed voltage and fixed
frequency five-phase output supply. The output however
may be made variable by inserting the autotransformer at
the input side.
Fig.2 (a) Block representation of the proposed system
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Fig 2(b) block diagram
.
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CHAPTER 3
WINDING ARRANGEMENT OF FIVE PHASE
STAR OUTPUT
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3. WINDING ARRANGEMENT OF FIVE PHASE
STAR OUTPUT
The input and output supply can be arranged in the
following manner:
1) input star, output star;
2) input star, output polygon;
3) input delta, output star;
4) Input delta, output polygon.
Since input is a three-phase system, the windings are
connected in a usual fashion. The output/secondary side
connection is discussed in the following subsections.
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Three separate cores are designed with each
carrying one primary and three secondary coils, except in
one core where only two secondary coils are used. Six
terminals of primaries are connected in an appropriate
manner resulting in star and/or delta connections and the 16
terminals of secondaries are connected in a different
fashion resulting in star or polygon output. The connection
scheme of secondary windings to obtain a star output is
illustrated in Fig. and the corresponding phasordiagram is
illustrated in Fig3 (a)
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The proposed transformer winding connections and
phasor diagram of proposed transformer connections as
shown below in fig 3(a), 3(b)&3(c)
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Fig 3(a) proposed transformer winding
connection
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Fig 3(b) Proposed transformer winding connection (star).
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Fig. 3(c) Phasor diagram of the proposed transformer
connection (star-star).
3.1 constructional details of winding arrangement:
The construction of output phases with requisite phase
angles of 72 between each phase is obtained using
appropriate turn ratios, and the governing phasor equations
are illustrated below. The turn ratios are different in each
phase. The choice of turn ratio is the key in creating the
requisite phase displacement in the output phases. The
input phases are designated with letters X Y, and Z
and the output are designated with letters A, B, C,
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D, and E. As illustrated in Fig., the output phase A is
along the input phase X. The output phase B results
from the phasor sum of winding voltage c6c5 and
b1b2, the output phase C is obtained by the phasor sum
of winding voltages a3a4 and b3b4. The output phase
D is obtained by the phasor addition of winding voltages
a3a4 and c1c2 and similarly output phase E results
from the phasor sum of the winding voltages c3c4 and
b6b5 . In this way, five phases are obtained. The
transformation from three to five and vice-versa is further
obtained by using the relation given below
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CHAPTER 4
THREE-PHASE ELECTRIC POWER
4. THREE-PHASE ELECTRIC POWER
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4.1 Introduction to three phase electric power:
Three-phase electric power is a common method
ofalternating current electric power transmission. It is a
type ofpoly-phase system and is the most common method
used by electric power distribution grids worldwide to
distribute power. It is also used to power large motors and
other large loads. A three-phase system is generally moreeconomical than others because it uses less conductor
material to transmit electric power.
In a three-phase system, three circuit conductors carry
three alternating currents (of the same frequency) which
reach their instantaneous peak values at different times.
Taking one conductor as the reference, the other two
currents are delayed in time by one-third and two-thirds of
one cycle of the electric current. The delay between phases
has the effect of giving constant power transfer over each
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http://en.wikipedia.org/wiki/Alternating-current_electric_powerhttp://en.wikipedia.org/wiki/Electric_powerhttp://en.wikipedia.org/wiki/Polyphase_systemhttp://en.wikipedia.org/wiki/Electric_power_distribution_gridhttp://en.wikipedia.org/wiki/Electric_motorhttp://en.wikipedia.org/wiki/Three-phasehttp://en.wikipedia.org/wiki/Alternating_currenthttp://en.wikipedia.org/wiki/Electric_powerhttp://en.wikipedia.org/wiki/Polyphase_systemhttp://en.wikipedia.org/wiki/Electric_power_distribution_gridhttp://en.wikipedia.org/wiki/Electric_motorhttp://en.wikipedia.org/wiki/Three-phasehttp://en.wikipedia.org/wiki/Alternating_currenthttp://en.wikipedia.org/wiki/Alternating-current_electric_power -
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cycle of the current and also makes it possible to produce a
rotating magnetic field in an electric motor.
Three-phase systems may have a neutral wire. A
neutral wire allows the three-phase system to use a higher
voltage while still supporting lower-voltage single-
phase appliances. In high-voltage distribution situations, it
is common not to have a neutral wire as the loads can
simply be connected between phases (phase-phase
connection).
4.2 properties of three phase electric power:
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Three-phase has properties that make it very desirable in
electric power systems:
The phase currents tend to cancel out one another,
summing to zero in the case of a linear balanced
load. This makes it possible to eliminate or reduce
the size of the neutral conductor; all the phase
conductors carry the same current and so can be the
same size, for a balanced load.
Power transfer into a linear balanced load is
constant, which helps to reduce generator and motor
vibrations. Three-phase systems can produce a magnetic field
that rotates in a specified direction, which simplifies
the design of electric motors.
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CHAPTER 5
TURNS RATIO
5. TURNS RATIO
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5.1 Turns ratio:
Transformers are used in a wide array of electrical or
electronic applications, providing functions that range from
isolation and stepping up or stepping down voltage and
current to noise rejection, signal measurement, regulation
and a host of functions particular to specific applications.
In order to test that a transformer will meet its design
specification, a number of functions should be tested and
one of the most commonly used tests is turns ratio.
5.2 Basic theory on turns ratio:
The turns ratio of a transformer is defined as the
number of turns on its secondary divided by the number of
turns on its primary. The voltage ratio of an ideal
transformer is directly related to the turns ratio.
( 1)
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The current ratio of an ideal transformer is inversely related
to the turns ratio:
(2)
Where
Vs = secondary voltage, Is = secondary current, Vp =primary voltage, Ip = primary current,
Ns = number of turns in the secondary winding and Np =
number of turns in the primary winding.
The turn ratio of a transformer therefore defines the
transformer as step-up or step-.down.
Step up transformer:
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A step-up transformer is one whose secondary voltage
is greater than its primary voltage and a transformer that
steps up voltage will step-down current.
Step down transformer:
A step-down transformer is one whose secondary
voltage is lower than its primary voltage and a transformer
that steps down voltage will step-up current.
5.3Voltage current turns ratio:
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5.4 Factors Affecting Turns Ratio Measurements:
In ideal transformer, the ratio of the physical turns
on any winding could be established simply by measuring
the rms output voltage on one winding, while applying a
known rms input voltage of an appropriate frequency to
another winding. Under these conditions, the ratio of the
input to output voltages would be equal to the physical
turns ratio of these windings.
In real transformers a number of electrical
properties that result in a voltage or current ratio that may
be not equal to the physical turns ratio. The following
schematic diagram illustrates the electrical properties of a
real transformer, with the ideal transformer component
shown in the center, plus the electrical components thatrepresent various additional properties of the transformer.
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Fig 5(e) winding connections of real transformer
5.5 Electric properties of real transformer:
L1, L2 and L3 represent the primary and secondary
leakage inductance caused by incomplete magnetic
coupling between the windings.
R1, R2 and R3 represent the resistance (or copper loss)
of the primary and secondary windings. C1, C2, and C3 represent the interwinding
capacitance.
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Lp represents the magnetizing inductance core loss.
Rc represents the core loss of which three areas
contribute, eddy current loss (increases with
frequency), hysteresis loss (increases with flux
density) and residual loss (partially due to resonance).
CHAPTER 6
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FIVE-PHASE SYSTEM
6. FIVE-PHASE SYSTEM
Variable speed electric drives predominately utilise
three-phase machines. Since multi-phase machines offersome inherent advantages over three-phase counterpart.
Major advantages of using a multi-phase machine instead
of a three-phase machine are:
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i. Higher torque density
ii. Greater efficiency.
iii. Reduced torque pulsations.
iv. greater fault tolerance
v. reduction in the required rating per inverter leg
.
Noise characteristics of multi-phase drives are better
when compared three-phase drive. Higher Phase number
yield smoother torque due to the simultaneous increase of
the frequency of the torque pulsation and reduction of the
torque ripple magnitude. Higher torque density in a multi-
phase machine is possible because fundamental spatial
field harmonic and space harmonic fields can be used to
enhance total torque. This advantage of enhanced torque
production stems that vector control of the machines fluxand torque produced by the interaction of the fundamental
field component and the fundamental stator current
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component requires only two stator currents (d-q current
components).
In a multi-phase machine, with at least five phases or
more, there are additional degrees of freedom, which can
be utilised to enhance the torque production through
injection of higher order current harmonics. The stability
analysis of five-phase drive system for harmonic injection
scheme is carried for both concentrated winding and
distributed winding machines.
6.1 Applications of five phase system:
i. Ship propulsion.
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ii. Traction, electric vehicles and in safety critical
applications requiring high degree of redundancy.
iii. water pumping in remote
iv. Weak grid locations where the power quality is not
adequate for operating sophisticated microprocessor
based controllers.
6.2 Need of five phase system:
The question arises why five-phase drive is at all
required not conventional three-phase drive. Five phase
drive has fault tolerant characteristic, reliable and higher
efficiency compared to three-phase drive. The power
electronic converters supplying multi-phase drives are
controlled using advanced digital signal processors (DSP)
and Field programmable Gate Arrays (FPGA).
6.3 Five phase drive structure:
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A simple open-loop five-phase drive structure is
elaborated in Fig6(a). The dc link voltage is adjusted from
the controlled rectifier by varying the conduction angles of
the thyristors. The frequency of the fundamental output is
controlled from the IGBT based voltage source inverter.
The inverter is operating in the quasi square wave mode
instead of more complex PWM mode. Thus the overall
control scheme is similar to a three-phase drive system.
Since the inverter is operating in square wave mode the
analogue circuit based controller is much simpler and
cheaper compared to more sophisticated digital signal
processor based control schemes. This type of solution is
very cheap and convenient for use in coarse applications
such as water pumping.The power quality of the remote
locations in developing countries such as Indian
subcontinents are not adequate for reliable and durableoperation of sensitive
microprocessors/microcontrollers/digital signal processors
based controllers.
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Fig 6(a) structure of five phase
drive
6.4 Three phase drive:
The predominant harmonics in a three-phase
induction motor drive are 5th and 7th, with 5th being
backward rotating and 7th being forward rotating both
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leading to 6th harmonic pulsating torques. The expression
for the sixth harmonic pulsating torque is given as;
Eqn 1(a)
An expression is derived for the sixth harmonic pulsating
torque in terms of fundamental voltage and equivalent
circuit parameter and is obtained as:
Eqn1(b)
Where
and y mk is the peak of kth harmonic
mutual flux,
V1 is the fundamental applied voltage, Xeq is the
equivalent leakage reactance and P is the number of poles
of induction machine.
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Where
Thus the ratio of pulsating torques for a typical motor in
two conduction modes is obtained as;
The relations show there is reduction in torque
ripples in five phase motor at 144 conduction mode by
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10% (approx) when compared with 180 conduction mode
of five phase motor, 700% when compared with 180
conduction modes of five phase motors, and 778% when
compared with 180 conduction mode of three phase motor
and 144 conduction mode of five phase motor.
6.6 Comparison of output performance on 5&6 phase
machine:
To provide basis for comparing the output current of
the 3, 5, and 6-phase machines, it is convenient to represent
the coupling of the rotor to stator windings through back-
emf.
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Fig 6(b) Five phase
machine
In general, winding harmonics coupled with
permeance harmonics due to stator slots and rotor saliency
lead to a back-emf with significant harmonic content.
Although important for evaluating acoustic noise, to
compare the output of the machined rectifiers it is
convenient to neglect harmonics and assume each of the
machines has a phase-o back-emf of the form
Where the amplitude e is a function of field flux linkage
and rotor speed.
6.7 Operation of 5&6 phase:
As conduction begins, the switching of each of the
rectifiers is a function of the back-emf waveforms and is
consistent with the numbering of the diodes. If one
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assumes equal back-emf amplitudes for the three machines,
the speed where conduction begins (the line-to line emf
exceeds the battery voltage) is lower for the 5-phase
machine. The 6-phase machine is constructed as two 3-
phase machines offset by 30 electrical degrees. Therefore,
the line-line emf of the 3 &6 phase machines is found from
the vector sum of two phases displaced by I20 degrees,
which is equal to . The line-line emf of the 5-phase
machine, in contrast is found the vector sum of two phases
displaced by 144 degrees, which is equal to 1.902ee. Thus,
for a given speed, one would expect a line-to-line emf that
is roughly 10% higher for the 5-phase machine compared
to the 3- and 6-phase machines. For a given number of
rotor poles and stator slot/pole/phase, 5-phase and 6-phase
machines will have 513 and twice the number of slots as
the. Carter's coefficient provides a starting point. For thegeometry studied, the resultant Carter coefficients are
shown in Table.
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Table: Carters coefficients for 3, 5 and 6 phase machines
These values were calculated assuming similar
slot openings and stator inner diameters for each of the
designs. Comparing values, the impact of the additional
slots is clear; the flux linkage for the 5 and 6-phasemachines will be reduced compared to the 3-phase
machine.
As the rotor speed increases above cut-in, the effect of
the source inductance is significant. To illustrate, the
modes of the 5-phase machine converter with a battery load
are shown in Fig5 (d).
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Fig 6 (c).
Operational modes of 5-phase machine
6.8 Modes of operation of 5&6 phase machines:
From the fig5 (d) it can be seen that between
rotor speeds of 1060-6000 rpm there are 8 distinct
conduction patterns of the rectifier. At speeds between
1060 and 1076 rpm, a sequence of 0-2 diodes are
conducting (mode 1): at speeds between 1076 and 1079
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rpm a sequence of 0-2-3-2 diodes are conducting (mode 2).
These modes are not shown due to their short durations. As
the rotor speed increases more diodes conduct and above
2563 rpm 5 diodes are always conducting.
To model the 5 and 6-phase machines, the back-emf
and magnetizing inductance obtained from the model of the
3- phase machine at each operating point are used.
Specifically, the values from the 3-phase machine are
multiplied by the ratio of Carter's coefficient of the 3-phase
machine to that of the 5and 6-phase machine to generate
the respective 5and 6-phase machine parameters. The stator
leakage inductance for each machine is calculated from the
respective slot geometry. The purpose of using the 3-phase
data to generate 5 and 6-phase machine parameters is to
assess the accuracy of using the ratio of Caner's coefficientto compare the performance of the three machines. The
simulated performance of the simplified machine models
are shown in Fig 6(d).
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Fig.6 (d) Simulated response using simplified machine
models
6.9 Comparison of cost:
In comparing the 5 and 6-phase machines, the 5-phase
concept offers some advantages in terms of product
performance as well as manufacturability that translate to
lower cost. For one, the 5-phase is comprised of fewer
slots. This helps not only the cost but also the machine
performance. A 5-phase machine, wound with one
slot/poly phase requires five stator slots per pole whereas a
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6-phase machine with one slot/pole/phase requires six slots
per pole. The added slots of the 6-phase also present
possible performance drawbacks. The flux will drop as a
result of the larger effective air gap. An additional concern
of the added slot count is the increase in eddy current
losses on the unlaminanted rotor pole pieces. If a
continuous assortment of diode current ratings were
available, one could select a diode for the 6-phase with
5/6th the current rating of the 5-phase generator.
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CHAPTER 7
MATLAB
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7. MATLAB
Mat lab is a high-performance language for
technical computing. It integrates computation,
visualization, and programming in an easy-to-use
environment where problems and solutions are expressed
in familiar mathematical notation. Typical uses include
Math and computation Algorithm development Data
acquisition Modeling, simulation, and prototyping Data
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analysis, exploration, and visualization Scientific and
engineering graphics Application development, including
graphical user interface building.
Matlab is an interactive system whose basic data
element is an array that does not require dimensioning.
This allows you to solve many technical computing
problems, especially those with matrix and vector
formulations, in a fraction of the time it would take to write
a program in a scalar no interactive language such as C or
FORTRAN.
The name matlab stands for matrix laboratory.
Matlab was originally written to provide easy access to
matrix software developed by the linpack and eispackprojects. Today, matlab engines incorporate the lapack and
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blas libraries, embedding the state of the art in software for
matrix computation.
Matlab features a family of add-on application-specific
solutions called toolboxes. Very important to most users of
matlab, toolboxes allow you to learn and apply specialized
technology. Toolboxes are comprehensive collections of
matlab functions (M-files) that extend the matlab
environment to solve particular classes of problems. Areas
in which toolboxes are available include signal processing,
control systems, neural networks, fuzzy logic, wavelets,simulation, and many others.
7.1 Main parts in mat lab:
The matlab system consists of five main parts:
Development Environment: This is the set of tools
and facilities that help you use matlab functions and files.
Many of these tools are graphical user interfaces. It
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includes the matlab desktop and Command Window, a
command history, an editor and debugger, and browsers for
viewing help, the workspace, files, and the search path.
Matlab Mathematical Function Library: This is a
vast collection of computational algorithms ranging from
elementary functions, like sum, sine, cosine, and complex
arithmetic, to more sophisticated functions like matrix
inverse, matrix eigenvalues, Bessel functions, and fast
Fourier transforms.
Matlab Language: This is a high-level
matrix/array language with control flow statements,
functions, data structures, input/output, and object-oriented
programming features. It allows both "programming in thesmall" to rapidly create quick and dirty throw-away
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programs, and "programming in the large" to create large
and complex application programs.
Matlab has extensive facilities for displaying vectors
and matrices as graphs, as well as annotating and printing
these graphs. It includes high-level functions for two-
dimensional and three-dimensional data visualization,
image processing, animation, and presentation graphics. Italso includes low-level functions that allow you to fully
customize the appearance of graphics as well as to build
complete graphical user interfaces on your matlab
applications.
The matlab Application Program Interface (API):
This is a library that allows you to write C and FORTRAN
programs that interact with matlab. It includes facilities for
calling routines from matlab (dynamic linking), calling
matlab as a computational engine, and for reading and
writing MAT-files.
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Tool boxes of mat lab:
Signal processing:
The Signal Processing Blockset extends Simulink
with efficient frame-based processing and blocks for
designing, implementing, and verifying signal processing
systems. The blockset enables you to model streaming
data and multirate systems in communications,
audio/video, digital control, radar/sonar, consumer and
medical electronics, and other numerically intensive
application areas.
Embedded target for Motorola mp 555:
The Embedded Target for Motorola MPC555 lets
you deploy production code generated from Real-Time
Workshop Embedded Coder directly onto MPC5xx
microcontrollers. You can use the Embedded Target for
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Motorola MPC555 to execute code in real time on the
Motorola MPC5xx for on-target rapid prototyping,
production deployment of embedded applications, or
validation and performance analysis.
Real time window target:
Using Real-Time Workshop, you generate C code,
compile it, and start real-time execution on Microsoft
Windows while interfacing to real hardware using PC I/O
boards. Other Windows applications continue to run
during operation and can use all CPU cycles not needed
by the real-time task.
Real-Time Workshop:
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Real-Time Workshop generates and executes stand-
alone C code for developing and testing algorithms
modeled in Simulink. The resulting code can be used for
many real-time and non-real-time applications, including
simulation acceleration, rapid prototyping, and hardware-
in-the-loop testing.
Real-Time Workshop Embedded:
Real-Time Workshop Embedded Coder generates C
code from Simulink and State flow models that has the
clarity and efficiency of professional handwritten code.
The generated code is exceptionally compact and fast
essential requirements for embedded systems, on-target
rapid prototyping boards, microprocessors used in mass
production, and real-time simulators. You can use Real-
Time Workshop Embedded Coder to specify, deploy, and
verify production-quality software
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CHAPTER 8
SIMULINK
8. SIMULINK
8.1 Introduction to simulink:
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Simulink is a software add-on to matlab which is a
mathematical tool developed by The Math works a
company based in Natick. Matlab is powered by extensive
numerical analysis capability. Simulink is a tool used to
visually program a dynamic system (those governed by
Differential equations) and look at results. Any logic
circuit, or control system for a dynamic system can be built
by using standard building blocks available in Simulink
Libraries. Various toolboxes for different techniques, such
as Fuzzy Logic, Neural Networks, dsp, Statistics etc. are
available with Simulink, which enhance the processing
power of the tool. The main advantage is the availability of
templates / building blocks, which avoid the necessity of
typing code for small mathematical processes.
8.2 Concept of signal and logic flow:
In Simulink, data/information from various blocks
are sent to another block by lines connecting the relevant
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blocks. Signals can be generated and fed into blocks
dynamic / static).Data can be fed into functions. Data can
then be dumped into sinks which could be scopes, displays
or could be saved to a file. Data can be connected from one
block to another, can be branched, multiplexed etc. In
simulation, data is processed and transferred only at
discrete times, since all computers are discrete systems.
Thus, a simulation time step (otherwise called an
integration time step) is essential, and the selection of that
step is determined by the fastest dynamics in the simulated
system.
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Fig 8(a) Simulink library browser
8.3 Basic Elements:
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There are two basic
elements in simulink:
I) Blocks:are used to generate, modify,combine, output, and display signals.
ii)Lines: are used to transfer signals fromone block to another.
Blocks: There are several general classes of blocks:
Sources:Used to generate various signals
Sinks:Used to output or display signals
Linear: Linear, continuous-time system elements and
connections (summing junctions, gains,
etc.)
Nonlinear:Nonlinear operators (arbitrary functions,
saturation, delay, etc.)
Connections:Multiplex; Demultiplex, System Macros,
etc.
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. Blocks have zero to several input terminals and
zero to several output terminals. Unused input terminals
are indicated by a small open triangle. Unused output
terminals are indicated by a small triangular point. The
block shown below has an unused input terminal on the
left and an unused output terminal on the right.
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Lines: Lines can never inject a signal into another line;
lines must be combined th rough the use of a block such as
a summing junction
8.4: Connecting blocks:
Fig8(b) Connecting blocks
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Simulink is a graphical extension to MATLAB for
modeling and simulation of systems. In Simulink, systems
are drawn on screen as block diagrams. Many elements of
block diagrams are available, such as transfer functions,
summing junctions, etc., as well as virtual input and Output
devices such as function generators and oscilloscopes.
Simulink is integrated with MATLAB and data can be
easily transferred between the programs. When it starts,
Simulink brings up two windows. The first is the main
Simulink window, which appears as:
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The second window is a blank, untitled, model
window. This is the window into which a new model can
be drawn.
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A signal can be either a scalar signal or a vector signal.
For Single-Input, Single-Output systems, scalar signals
are generally used. For Multi-Input, Multi-Output
systems, vector signals are often used, consisting of two
or more scalar signals. The lines used to transmit scalar
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and vector signals are identical. The type of signal carried
by a line is determined by the blocks on either end of the
line.
Simple Example:
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The simplemodel (from the
model file section) consists of three blocks: Step, Transfer
Fun, and Scope. The Step is a source block from which a
step input signal originates. This signal is transfered
through the line in the direction indicated by the arrow to
the Transfer Function linear block. The Transfer Function
modifies its input signal and outputs a new signal on a
line to the Scope. The Scope is a sink block used to
display a signal much like an oscilloscope.
Modifying Blocks:
A block can be modified by double-clicking on it. For
example, if you double-click on the "Transfer Fun" block
in the simple model, you will see the following dialog
box.
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This dialog box contains fields for
the numerator and the denominator of the block's transfer
function. By entering a vector containing the coefficients
of the desired numerator or denominator polynomial, the
desired transfer function can beentered. For example, to
change the denominator to s^2+2s+1, enter the following
into the denominator field:
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[1 2 1]
And hit the close button, the model window will change
to the following,
This reflects the change in the denominator of the transfer
function.
The "step" block can also be double-clicked, bringing up
the following dialog box.
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The default parameters in this dialog box generate a
step function occurring at time=1 sec, from an initial level
of zero to a level of 1. The most complicated of these
three blocks is the "Scope" block. Double clicking on this
brings up a blank oscilloscope screen.
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When a simulation is performed, the signal which feeds
into the scope will be displayed in this window. Detailed
operation of the scope will not be covered in this tutorial.
The only function we will use is the autoscale button,
which appears as a pair of binoculars in the upper portionof the window.
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Running Simulations:
To run a simulation, we will work with the following
model file:
Before running a simulation of this system, first open the
scope window by double-clicking on the scope block.
Then, to start the simulation, either select Start from theSimulation
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The simulation should run very quickly and the
scope window will appear as shown below:
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Note that the simulation output (shown in yellow) is
at a very low level relative to the axes of the scope. To fix
this, hit the autoscale button (binoculars), this will rescale
the axes as shown below.
. Besides variable signals, and even entire systemscan be exchanged between MATLAB and Simulink.
Simulink is a platform for multinomial
simulation and Model-Based Design for dynamic systems.
It provides an interactive graphical environment and a
customizable set of block libraries, and can be extended for
specialized application blocks, left-click and drag the
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mouse from the output of one block to the input of another
block.
Sources and sinks:
The sources library contains the sources of data/signals
that one would use in a dynamic system simulation. One
may want to use a constant input, a sinusoidal wave, a step,
a repeating sequence such as a pulse train, a ramp etc. One
may want to test disturbance effects, and can use the
random signal generator to simulate noise. The clock may
be used to create a time index for plotting purposes. The
ground could be used to connect to any unused port, to
avoid warning messages indicating unconnected ports
The sinks are blocks where signals are terminated or
ultimately used. In most cases, we would want to store theresulting data in a file, or a matrix of variables. The data
could be displayed or even stored to a file. The stop block
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could be used to stop the simulation if the input to that
block (the signal being sunk) is non-zero. Figure 3 shows
the available blocks in the sources and sinks libraries.
Unused signals must be terminated, to prevent warnings
about unconnected signals.
Fig 8.(c) Sources and sinks
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Continuous and discrete systems: All dynamic systems
can be analyzed as continuous or discrete time systems.
Simulink allows you to represent these systems using
transfer functions, integration blocks, delay blocks etc.
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fig 8.(d)continous and discrete systems
Non-linear operators:
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A main advantage of using tools such as Simulink is
the ability to simulate non-linear systems and arrive at
results without having to solve analytically. It is very
difficult to arrive at an analytical solution for a system
having non-linearities such as saturation, signup function,
limited slew rates etc. In Simulation, since systems are
analyzed using iterations, non-linearities are not a
hindrance. One such could be a saturation block, to indicate
a physical limitation on a parameter, such as a voltage
signal to a motor etc. Manual switches are useful when
trying simulations with different cases. Switches are the
logical equivalent of if-then statements in programming.
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fig 8(e) simulink blocks
Mathematical operations:
Mathematical operators such as products, sum, logical
operations such as and, or, etc. .Can be programmed along
with the signal flow. Matrix multiplication becomes easy
with the matrix gain block. Trigonometric functions such
as sin or tan inverse (at an) are also available. Relational
operators such as equal to, greater than etc. can also be
used in logic circuits
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Fig 8(f) Simulink math blocks
Signals & data transfer:
In complicated block diagrams, there may arise the
need to transfer data from one portion to another portion of
the block. They may be in different subsystems. That signal
could be dumped into a goto block, which is used to send
signals from one subsystem to another.
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Fig 8(g) signals and systems
Making subsystems:
Drag a subsystem from the Simulink Library Browserand place it in the parent block where you would like to
hide the code. The type of subsystem depends on the
purpose of the block. In general one will use the standard
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subsystem but other subsystems can be chosen. For
instance, the subsystem can be a triggered block, which is
enabled only when a trigger signal is received. When ports
are created in the subsystem, they automatically create
ports on the external (parent) block. This allows for
connecting the appropriate signals from the parent block to
the subsystem.
Setting simulation parameters:
Running a simulation in the computer always requires
a numerical technique to solve a differential equation. The
system can be simulated as a continuous system or adiscrete system based on the blocks inside. The simulation
start and stop time can be specified. In case of variable step
size, the smallest and largest step size can be specified. A
Fixed step size is recommended and it allows for indexing
time to a precise number of points, thus controlling the size
of the data vector. Simulation step size must be decided
based on the dynamics of the system. A thermal process
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may warrant a step size of a few seconds, but a DC motor
in the system may be quite fast and may require a step size
of a few milliseconds.
SimDriveline :
SimDriveline extends Simulink with tools for
modeling and simulating the mechanics of driveline
systems. These tools include components such as gears,
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rotating shafts, and clutches; standard transmission
templates; and engine and tire models. SimDriveline is
optimized for ease of use and speed of calculation for
driveline mechanics. It is integrated with Math Works
control design and code generation products, enabling you
to design controllers and test them in real time with the
model of the mechanical system.
SimEvents:
SimEvents extends Simulink with tools for
modeling and simulating discrete-event systems using
queues and servers. With SimEvents you can create a
discrete-event simulation model in Simulink to model the
passing of entities through a network of queues, servers,
gates, and switches based on events.
Sim Power Systems:
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SimPowerSystems extends Simulink with tools for
modeling and simulating basic electrical circuits and
detailed electrical power systems. These tools let you
model the generation, transmission, distribution, and
consumption of electrical power, as well as its conversion
into mechanical power. SimPowerSystems is well suited
to the development of complex, self-contained power
systems, such as those in automobiles, aircraft,
manufacturing plants, and power utility applications.
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CHAPTER 9
SIMULATION RESULTS
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9. SIMULATION RESULTS
The designed transformer is at first simulated by using
simpower system block sets of the Matlab/Simulink
software. The inbuilt transformer blocks are used to
simulate the conceptual design. The appropriate turn ratiosare set in the dialog box and the simulation is run. Turn
ratios are shown in Table. Standard wire gauge SWG) is
shown in Table.
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Table: Design of the proposed transformer
A brief design description for the turn ratio, wire
gauge, and the geometry of the transformers are shown in
the Appendix. The simulation model is depicted in first fig
and the resulting input and output voltage waveforms are
illustrated in second fig.
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Fig. 9(a)Geometry of the transformer. Fig
9(b) Matlab/Simulink model of the three- to
five-phase transformation.
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It is balanced three-phase input. Individual output
phases are, also, shown along with their respective input
voltages. The phase Va is not shown because Va=Vx (i.e.,
the input and the output phases are the same). There was no
earth current flowing when both sides neutrals were
earthed. The input and output currents with earth current
waveforms are also shown in Fig. From this, we can say
that the transformer, connected to the X input line, carries
16.77% (19.5/16.7) more current than that of the other two
transformers (or two phases). Due to this efficiency, clearly
seen that the output is a balanced five-phase supply for a
overall transformer set is slightly lower than the
conventional three-phase transformer.
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Fig.9 (c) Input Vy and Vz phases and output Vb phase
voltage waveforms.9(d) Input Vy and Vx phases and
output Vc phase voltage waveforms.9 (e) Input Vz and Vx
phases and output Vd phase voltage waveforms
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CHAPTER 10
EXPERIMENTAL RESULTS
.
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10. EXPERIMENTAL RESULTS
This section elaborates the experimental setup
and the results obtained by using the designed three- to
five-phase transformation system. The designed
transformation system has a 1:1 input: output ratio, hence,
the output voltage is equal to the input voltage.
Nevertheless, this ratio can be altered to suit the step up or
step down requirements. This can be achieved by simply
multiplying the gain factor in the turn ratios. In the present
scheme for experimental purposes, three single phase
autotransformers are used to supply input phases of the
transformer connections. The output voltages can be
adjusted by simply varying the taps of the autotransformer.
For balanced output, the input must have balanced
voltages. Any unbalancing in the input is directly reflectedin the output phases. The input and output voltage
waveforms under no-load steady-state conditions are
recorded. The input and output voltage waveforms clearly
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show the successful implementation of the designed
transformer. Since the input-power quality is poor, the
same is reflected in the output as well. The output trace
shows the no-load output voltages. Only four traces are
shown due to the limited capability of the oscilloscope.
Further tests are conducted under load conditions on the
designed transformation system by feeding a five-phase
induction motor.
Fig.10 (a) Circuit diagram for a direct-online start of the
five-phase motor
Direct online starting is done for a five-phase
induction motor which is loaded by using an eddy-current
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load system. DC current of 0.5A is applied as the eddy-
current load on the five-phase induction machine. The
resulting input (three-phase) waveforms and the output
(five-phase) waveforms (voltages and currents) under
steady state. The applied voltage to the input peak-to-
peak). The corresponding waveforms of the same phase
A are equal to the input side voltage of 446 (peak-topic),
since the transformer winding has a 1:1 ratio. The power
factor is now reduced in the secondary side and is equal to
0.324 and the steady-state current reduces to 3.3 A (peak-
to-peak). The reduction in steady-state current is due to the
increase in the number of output phases. Thus, once again,
it is proved that the deigned transformation systems work
satisfactorily. The transient performance of the three- to
five-phase transformer is evaluated by recording the
transient current when sup- plying the five-phase inductionmotor load. The maximum peak transient current is
recorded as 7.04 A which is reduced to 4.32A in the
steady-state condition. The settling time is recorded to be
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equal to 438.4 ms. side is 446 V (peak to peak) , the power
factor is 0.3971, and the steady-state current is seen as
scopes
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CHAPTER 11
APPENDIX
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11. APPENDIX
11.1Design of the transformer:
1) The volt per turn
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2) Standard core size of No. 8 of E and I was used whosecentral limb width is 2*2.54=5.08cm =50.8mm.
3) Standard size of Bakelite bobbin for 8 no. core of
3*2.54=7.62cm=76.2 mm was taken which will give core
area of 38.7096cm.
4) Turns of primary windings of all three single-phase
transformers are equal and the enamelled wire gauge is 15
SWG. The VA rating of each transformer is 2000.
Wire gauge was chosen at a current density of 4 A/mm
because enamelled wire was ofthe grade which can withstand the temperature up to 180.
The winding has 15 SWG wire because it carries the sum
of two currents (i.e., times the 5-phase
rated current).
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CHAPTER 12
CONCLUSION
12. CONCLUSION
This paper proposes a new transformer connection
scheme to transform the three-phase grid power to a five-
phase output supply. The connection scheme and thephasor diagram along with the turn ratios are illustrated.
The successful implementation of the proposed connection
scheme is elaborated by using simulation and
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experimentation. A five-phase induction motor under a
loaded condition is used to prove the viability of the
transformation system. It is expected that the proposed
connection scheme can be used in drives applications and
may also be further explored to be utilized in multiphase
power transmission systems.
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CHAPTER 13
BIBILIOGRAPHY
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13. REFERENCES
[1] E. E. Ward and H. Harer, Preliminary investigation of
an inverter-fed 5-phase induction motor, Proc. Inst. Elect.
Eng., vol. 116, no. 6, 1969.
[2] A. Iqbal, Modeling and control of series-connected
five-phase and six-phase two-motor drive, Ph.D.
dissertation, Liverpool John Moores Univ., Liverpool,U.K., 2006.
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[3] G. K. Singh, Self excited induction generator research-
a survey, Elect. Power Syst. Res., vol. 69, pp. 107114,
2004.
[4] O. Ojo and I. E. Davidson, PWM-VSI inverter-
assisted stand-alone dual stator winding induction
generator, IEEE Trans Ind. Appl., vol. 36, no. 6, pp.
16041611, Nov./Dec. 2000.
[5] G. K. Singh, K. B. Yadav, and R. P. Saini, Modeling
and analysis of multiphase (six-phase) self-excited
induction generator, in Proc. Eight Int. Conf. on Electric
Machines and Systems, China, 2005, pp. 19221927.
[6] G. K. Singh, K. B. Yadav, and R. P. Sani, Analysis of
saturated multiphase (six-phase) self excited induction
generator, Int. J. Emerging Elect. Power Syst., Article 5,vol. 7, no. 2, Sep. 2006.
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