Authors

  • Bedritsky I.M.
    Tashkent State Transport University (Tashkent, Uzbekistan)
  • Bazarov L.Kh.
    Tashkent State Transport University (Tashkent, Uzbekistan)
  • Zhuraeva K.K.
    Tashkent State Transport University (Tashkent, Uzbekistan)
  • Mirasadov M.Zh.
    Tashkent State Transport University (Tashkent, Uzbekistan)

DOI:

https://doi.org/10.71337/inlibrary.uz.ijasr.130890

Keywords:

Vehicle power supply magnetization curve approximating

Abstract

The subject of research in the article is ferromagnetic soft magnetic amorphous materials and alloys, which are used in power sources of automated control systems, and in vehicle electrical installations. The aim of the work is an objective comparison of two magnetization models for soft magnetic amorphous alloys - the main magnetization curve using approximation functions and the Giles-Atherton hysteresis loop model. In the study, the least squares method was used to optimize the main magnetization curve and the Giles-Atherton hysteresis loop optimization method with the aim of its maximum coincidence with the experimentally obtained loop. Experimental and reference data for common types of magnetically soft amorphous alloys were used for modeling. As a criterion of model accuracy for both modeling methods, the relative error in determining the magnetic induction value was chosen, and the experimental value obtained from the real hysteresis loop of a magnetically soft amorphous alloy was taken as its exact value, and the approximate value was taken from calculations of the magnetic induction value using the methods of approximating the magnetization curve and simulation of the hysteresis loop using the Giles-Atherton method. As a result of the research, it was revealed that both models of magnetization of magnetically soft amorphous materials give simulation results similar in accuracy. The obtained results of the study can be used to select an appropriate magnetization model for the mathematical description of ferromagnetic devices using magnetically soft amorphous metals and alloys. The final conclusion about the advantages of a particular model can only be made on the basis of the ultimate goals of the analysis.


background image

Volume 03 Issue 02-2023

38



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135



















































A

BSTRACT

The subject of research in the article is ferromagnetic soft magnetic amorphous materials and alloys, which
are used in power sources of automated control systems, and in vehicle electrical installations. The aim of
the work is an objective comparison of two magnetization models for soft magnetic amorphous alloys - the
main magnetization curve using approximation functions and the Giles-Atherton hysteresis loop model. In
the study, the least squares method was used to optimize the main magnetization curve and the Giles-
Atherton hysteresis loop optimization method with the aim of its maximum coincidence with the
experimentally obtained loop. Experimental and reference data for common types of magnetically soft
amorphous alloys were used for modeling. As a criterion of model accuracy for both modeling methods,
the relative error in determining the magnetic induction value was chosen, and the experimental value
obtained from the real hysteresis loop of a magnetically soft amorphous alloy was taken as its exact value,
and the approximate value was taken from calculations of the magnetic induction value using the methods

Journal

Website:

http://sciencebring.co
m/index.php/ijasr

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.

Research Article

COMPARISON OF MODELS OF MAGNETIZATION CURVES AND
HYSTERESIS LOOPS ACCORDING TO THE GILES-ATHERTON
MODEL FOR SOFT MAGNETIC AMORPHOUS ALLOYS


Submission Date:

February 14, 2023,

Accepted Date:

February 19, 2023,

Published Date:

February 24, 2023

Crossref doi:

https://doi.org/10.37547/ijasr-03-02-06


Bedritsky I.M.

Tashkent State Transport University (Tashkent, Uzbekistan)

Bazarov L.Kh.

Tashkent State Transport University (Tashkent, Uzbekistan)

Zhuraeva K.K.

Tashkent State Transport University (Tashkent, Uzbekistan)

Mirasadov M.Zh.

Tashkent State Transport University (Tashkent, Uzbekistan)


background image

Volume 03 Issue 02-2023

39



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































of approximating the magnetization curve and simulation of the hysteresis loop using the Giles-Atherton
method. As a result of the research, it was revealed that both models of magnetization of magnetically soft
amorphous materials give simulation results similar in accuracy. The obtained results of the study can be
used to select an appropriate magnetization model for the mathematical description of ferromagnetic
devices using magnetically soft amorphous metals and alloys. The final conclusion about the advantages of
a particular model can only be made on the basis of the ultimate goals of the analysis.

K

EYWORDS

Vehicle power supply, magnetization curve, approximating function, Giles-Atherton hysteresis model,
method error.

I

NTRODUCTION

Among the means of technical, mathematical,
linguistic and other types of support for
automated control systems (ACS), the technical
support that ensures the functioning of various
technical devices of the system due to their
various power sources is of particular
importance. Especially effective is the use of soft
magnetic amorphous alloys in transformer power
supplies, the energy efficiency of which is 70-85%
higher compared to similar transformers using
ordinary electrical steel. Since the devices for
supplying automatic control systems usually
operate in a continuous mode, the use of
transformers with low losses for magnetization
reversal and hysteresis can significantly save the
consumed electrical energy. As the cost of
electricity increases, the use of soft magnetic
amorphous alloys becomes justified in power
distribution networks, where transformers with a
power of up to 1600 kVA are used. For this
reason, the use of a suitable magnetization model

for amorphous materials, which arises in the
calculation of the cores of ferromagnetic devices,
in particular transformers, is an urgent scientific
problem.

To approximate the hysteresis loop in
ferromagnetic materials, the Giles-Atherton [4, 5,
6, 7, 10], Chan [8, 9, 10, 11, 14, 15] and other
models are most often used. However, if the
ferromagnetic elements in these devices operate
at high values of magnetic induction, then in this
case the main magnetization curve is used, which
is approximated by a suitable algebraic
expression. Most often, to approximate the
magnetization curve, the hyperbolic sinus, arc
tangent, complete and incomplete polynomials of
the n-th degree, where n is an odd integer [1, 2, 3,
17, 18], are used. The use of one or another
method for creating mathematical models of
ferromagnetic devices depends on the goals set
and the depth of study of the processes occurring
in them.


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International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































In the qualitative analysis of ferromagnetic
devices, the requirement of simplicity of
analytical transformations is decisive; in this case,
an analytical description of the magnetization
curve is usually used. However, with a deeper
study of the ongoing processes, for example,
when studying the quantitative parameters of the
device operation, it may be necessary to describe
the magnetization process using one of the
existing models of the hysteresis loop. Therefore,
of significant scientific interest is a comparative
analysis of the description of magnetization using
magnetization curves and using hysteresis loops,
in order to identify the optimal method for a
particular problem being solved, as well as an
objective assessment of the error when using
both methods of mathematical description of
hysteresis.

Research methods. As models for the study, cores
made of magnetically soft amorphous steels and
amorphous iron-based alloys were used, the
experimental magnetization curve of which was
recorded at an alternating current with a
frequency of 50 Hz according to the methods
described in [1, 2], in particular, for the AMAG 492
alloy, for other amorphous alloys, data on
magnetization are taken from the literature [12,
13]. The appearance of the main magnetization
curves is shown in fig. 1. It can be seen from the
curves that for the majority of soft magnetic
amorphous alloys, saturation occurs already at
low values of the magnetic field intension
compared to cold-rolled electrical steel, for which
the saturation strength is , which indicates a high
value of relative magnetic permeability for
amorphous alloys.

Figure 1. Magnetization curves of common types of amorphous steels and alloys


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(ISSN

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VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































The linear coefficients in the approximating expressions were calculated based on the minimum total
quadratic error using the least squares method, the transition from nonlinear to linear functions was
carried out using the appropriate substitutions [16, 20] and using the expression

=

=

=

=

=



=

N

i

n

i

N

i

n

i

i

N

i

n

i

N

i

i

N

i

n

i

B

N

B

H

B

N

H

B

k

1

2

2

1

1

1

1

, modified for the condition of passing the curve through the origin,

where is N - the number of experimental points on the magnetization curve;

i

point number;

i

B

,

i

H

- are

the experimental values of the magnetic induction and the magnetic field intension at the

i

-th point,

respectively. For cores made of a soft amorphous alloy based on iron grade AMAG 492 in the range of
inductions from 0 to 1.6 T (saturation induction), the following approximating expressions were obtained:

hyperbolic sinus

)

552

,

11

(

10

892

,

1

5

B

sh

H

=

;

arc tangent

)

049

,

0

(

022

,

1

H

arctg

B

=

;

incomplete polynomial of the ninth degree

9

66

,

14

B

H

=

incomplete polynomial of the eleventh degree

11

22

,

5

B

H

=

.

Graphs of the main curve of magnetization of the amorphous alloy AMAG 492 and functions

approximating it are shown in Fig.2.

(experiment)

Tl

Figure 2. Magnetization curve and its approximating functions for AMAG 492 alloy


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International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































It can be seen from the graphs of the functions that, according to the accuracy criterion, all of them are
sufficiently suitable for approximating the main magnetization curve of the AMAT 492 alloy. However, the
expressions for the hyperbolic sine and arc tangent are inconvenient for subsequent transformations, in
particular, expressions with hyperbolic functions are inconvenient for obtaining inverse dependencies (

H

from

B

or

B

from

H

), which is necessary when analyzing circuits. Obviously, the most suitable for the

criterion of simplicity and accuracy is the approximation by incomplete polynomials of the ninth and
eleventh degrees.

To estimate the errors, we study the nature of the change in the relative approximation error with a change
in the magnetic field intension. The relative approximation error for each of the experimental points can

be calculated from the expression

%

100

(%)

=

i

iA

i

B

B

B

, where

i

B

is an experimental value of

magnetic induction in

i

-th point;

iA

B

is the value of the magnetic induction calculated from the

approximating function. Dependence curves

)

(

(%)

B

f

=

for incomplete polynomials of degrees from 9 to

11, as well as for the functions of the hyperbolic sine and arc tangent for the core of the AMAT 492
amorphous alloy are shown in Fig. 3.

1-incomplete polynomial of degree 11, 2-incomplete polynomial of degree 9,

3-hyperbolic sine, 4- arctangent

Figure 3. Approximation errors

It can be seen from the graphs that the errors in
the approximation by polynomials with degrees

of 9 and 11 give errors not exceeding 9%, which
can be considered acceptable when calculating


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(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































ferromagnetic elements based on amorphous
alloys.

The above methods for approximating the
magnetization curve are approximate, since in
reality any ferromagnetic material is magnetized
along a hysteresis loop. Therefore, it is of interest
to mathematically describe the process of
material magnetization taking into account
hysteresis. For modeling, we will use the
hysteresis loop of the AMAG 492 material, using
the Giles-Atherton model [4, 5, 19], as the most
commonly used in commercial programs for
calculating ferromagnetic devices. Due to the lack
of parameters of this model in the reference data,

it is necessary to apply its optimization, which
makes it possible to calculate the model
parameters using known experimental and
reference data.

The essence of the Giles-Atherton model is that
the total magnetization consists of three
components: hysteresis-free magnetization

an

M

,

reversible (reversible) magnetization

rev

M

,

irreversible magnetization

irr

M

, and the

relationship between the magnetization

,

M

magnetic field intension

H

and magnetic

induction value

B

is described by the expression

).

(

0

H

M

B

+

=

Magnetization

M

ferromagnetic in an external

magnetic field depends on the magnitude of the
internal field

e

H

, equal to

M

H

H

e

+

=

, where

coefficient taking into account the effect of

interaction between the external and internal
magnetic fields. Due to small value

, equal to

5

10

6

4

in the sources [4] it is recommended to

take it equal to zero, thus it turns out

H

H

e

.

The

value

of

the

hysteresis-free

magnetization

an

M

can be written in the form of

)

(

H

f

M

M

s

an

=

, where

s

M

saturation

magnetization,, and

)

(

H

f

function equal to

zero at

0

=

H

and unit at

H

, tending to infinity.

In the Giles-Atherton model, as a function

)

(

H

f

the Langevin function is used in the form

£(x)=coth(x)-1/x

,

with

considering,

the

hysteresis-free magnetization curve is described

by the function





=

H

A

A

H

M

M

s

an

coth

,

where

А

a scale factor ranging from 0.1 to 10000

is chosen according to the appearance of the
hysteresis loop so that the curve

an

M

passed

through the points (0,0) and

)

,

(

r

c

B

H

hysteresis

curve, where

c

H

и

r

B

respectively coercive

force and residual magnetic induction.

It is known from [4] that the total

magnetization

M

is the sum of two components

the irreversible magnetization

irr

M

and the

reversible magnetization

rev

M

.

rev

irr

M

M

M

+

=

. (1)


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(ISSN

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VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































The derivatives with respect to

H

of the irreversible and reversible components are determined,

respectively, by the expressions

)

(

0

irr

an

irr

an

irr

M

M

k

M

M

dH

dM

=

;

=

dH

dM

dH

dM

c

dH

dM

an

rev

, (2)

whence, after transformations and taking into account (1), a differential equation can be obtained

that describes the hysteresis in the Giles-Atherton model

dH

dM

c

c

M

M

k

M

M

c

dH

dM

an

an

an

)

1

(

)

(

)

(

)

1

(

1

0

+

+

+

=

. (3)

Here:

sign function,

1

=

if

,

0

dt

dH

1

=

if

,

0

dt

dH

c

H

k

0

- coefficient, approximately equal

to the coercive force; c - is the weight coefficient equal to the ratio of the differential susceptibilities of the
initial and hysteresis-free magnetization curves, determined experimentally by the best approximation of
the calculated and experimental hysteresis curves, is in the range from 0 to 1;

the coefficient taking

into account the effect of interaction between the external and internal magnetic fields, previously its
value was taken equal to zero.


With these notations, expression (3) can be rewritten as

dH

dM

c

H

M

M

c

dH

dM

an

c

an

+

=

)

(

)

1

(

. (4)

Integrating the left and right sides of (4) over

dH

, we obtain

an

an

c

M

c

dH

M

M

H

c

M

+

=

)

(

1

. (5)

Since





=

H

A

A

H

M

M

s

an

coth

, after substituting this expression into (5), we finally obtain

)

H

A

A

H

(M

c

M)dH

H

A

A

H

(M

H

c

δ

M

s

s

c

+

=

coth

coth

1

(6)


We perform the integration of equation (6) by the numerical method of Gauss-Kronrod- [16] as giving
the highest algebraic accuracy with the following initial parameters characteristic of the AMAG 492
alloy, which are given in Table 1.

Tab. 1 Calculation parameters of the Giles-Atherton model for the amorphous alloy


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(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































AMAG 492

Parameter

Size

Unit of measurement

В

s

0,75

Tl

M

s

1,27*10

4

А/м

Н

с

8

А

/

м

Δ

+1, -1

-

Α

32

-

c

0,58

-

α

0

-

Based on the results of numerical integration, we obtain a series of values of the magnetic field intension

H

and the corresponding induction

B

, and we will take the integral within the range of the magnetic field

intension from -1000 to +1000 A/m. On fig. 4 shows plots of the hysteresis curves of dependence

)

(

H

f

B

=

for the AMAG 492 alloy, obtained experimentally and calculated from the results of solving equation (6)
for a steady state at a magnetization reversal frequency of 50 Hz.

Figure 4. Calculated and experimental graphs of hysteresis curves of dependence

)

(

H

f

B

=

for AMAG 492 alloy

From those shown in Fig. 4 graphs show a good
agreement between the calculated and

experimental curves, which at the reference
points (the exact origin of coordinates, the point


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International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































with the coercive force

с

H

and the residual

magnetic induction

r

B

and the point with the

limiting value of the magnetic field intension, in
our case equal to 800 A/m) coincide completely.
The greatest difference between the experimental
and calculated plots of hysteresis loops is
observed in the area of the greatest bend in the
magnetization curve. In the sections of the linear
dependence of

)

(

H

f

B

=

and the saturation

section of the magnetization curve, the
calculation errors are minimal.

R

ESEARCH RESULTS

We compare the magnetization curves of
amorphous materials obtained by their
approximation by an algebraic expression and
their hysteresis loops obtained using the Giles-
Atherton model. As a comparison criterion, the
value of the relative

modeling error can be used,

calculated

by

the

expression

%

B

B

B

(%)

i

iA

i

100

=

, where

В

i

is the

experimental value of the magnetic induction at
the

i

-th point;

В

iA

is the value of the magnetic

induction calculated from the approximating
function and using the Giles-Atherton model at
the same point.

On fig. Figure 5 shows the graphs of dependence

В

=f(H)

for the amorphous alloy AMAG 492,

constructed for various modeling methods: the
experimental dependence

В

=f(H),

taken on a full-

scale sample, the calculated dependence

В

=f(H)

,

obtained by use of approximation by an
incomplete polynomial of the form

H=14,66B

9

and

the calculation model of the hysteresis loop
obtained from the Giles-Atherton model. It can be
seen from the graphs that the adopted methods
give approximately the same modeling accuracy.

(experiment)

the Giles-Atherton

Tl

A/m


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(ISSN

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VOLUME

03

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02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































Figure 5. Graphs of dependence

В

=f(H)

with various modeling methods

On fig. 6 shows plots of the relative simulation error

)

B

(

f

(%)

=

for the AMAG 492 alloy using the

simulation methods discussed above.

Figure. 6. Graphs of dependence

)

B

(

f

(%)

=

for alloy AMAG 492:

1

approximation by the function

H=14,66B

9

, 2

direct branch of the hysteresis loop of the Giles-
Atherton model, 3

reverse branch of the Giles-

Atherton hysteresis loop model

From the graphs shown in fig. Figure 6 shows that
the relative errors of approximation of the
magnetization curve and the hysteresis loop of
the Giles-Atherton model in their largest value
differ little from each other.

From the graphs shown in fig.6 shows that the
relative errors of approximation of the
magnetization curve and the hysteresis loop of
the Giles-Atherton model in their largest value
differ little from each other.

As an example, let us consider the calculation
using the models of the magnetization curve and
the Giles-Atherton hysteresis loop model of the
values of magnetic inductions in the stabilizer
rods using the amorphous alloy AMAG 492, the
scheme of which is shown in Fig. 7 [14, p.96].


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(ISSN

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VOLUME

03

I

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02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































Figure 7. Model of a parametric stabilizer with an AMAG 492 amorphous alloy core

The electrical state of the stabilizer can be described by a system of algebraic equations for

instantaneous values of electrical and magnetic quantities

+

=

+

=

=

+

3

3

2

2

2

2

3

3

1

1

1

1

3

2

1

0

L

h

L

h

W

i

L

h

L

h

W

i

, (7)

Where :

u, i

instantaneous supply voltage and current,

φ

1

,

φ

1

,

φ

1

instantaneous values of magnetic

fluxes;

L

1

,

L

2

,

L

3

are the lengths of the average magnetic lines of the magnetic circuit;

h

1

,

h

2

,

h

3 -

are the

instantaneous values of the magnetic field in the rods of the magnetic circuit;

i

1

,

i

2

instantaneous currents

in the coils of the outermost rods of the magnetic circuit, respectively, with the number of turns

W

1

,

W

2

;

s

1

,

s

2

,

s

3

are the sections of the magnetic core rods; C - is the capacitance of the capacitor. We transform

expression (7) in such a way that the instantaneous values of magnetic inductions become unknown, for
which we use the known ratio

φ

=b*s

;

;

*

W

L

h

i

=

M

b

h

=

0

. (8)

Taking into account (8) expression (7) can be rewritten in the form of


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VOLUME

03

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Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































+

=

+

=

=

+

3

0

3

2

0

2

2

2

3

0

3

1

0

1

1

1

3

3

2

2

1

1

0

L

)

M

b

(

L

)

M

b

(

L

*

h

L

)

M

b

(

L

)

M

b

(

L

*

h

s

b

s

b

s

b

. (9)

The solution of the system of algebraic equations (9) was carried out in the following sequence:

1) by setting the values of the magnetic field intension in the range from -1000 to +1000 A / m through

the

value

of

10

A

/

m,

we

solve

the

differential

equation

))

A

H

(

coth

*

M

(

*

)

)

A

H

(

coth

*

M

(

1

S

1000

1000

S

H

A

c

dH

M

H

A

H

c

M

c

+

=

+

, finding the values of the magnetization

M

corresponding to the magnetic field intension

H

, Values of unknown quantities

δ

,

с

,

А

,

Н

с

,

М

с

should be

taken from Table 1;

2) after substituting the found values of

M

in (9), this system of equations turns into a system of

equations for the instantaneous values of magnetic inductions with linear coefficients;

3) solving the system of equations (3) we find three values of magnetic induction in the extreme rods

b

1

,

b

2

and the middle rod

b

3

. After that, we set the next value of

H

and repeat the calculations until all

calculations are completed in the range of values of the magnetic field intension

H

from -1000 to +1000

A/m

The results of the calculations are shown in Fig. 8, the results of calculations using the magnetization

curve model and theoretical calculations are taken from [14, p. 96-108 ] for the model with parameters:
core material - amorphous alloy AMAG 492, magnetization curve of the material

H

=14,66

B

9

, lengths of

the middle lines

L

1

=

L

2

=0,245

м

,

L

3

=0,15

м

, core cross-sections

S

1

=

S

2

=0,00085

м

2

,

S

3

=0,0017

м

2

, number of

turns W

1

=300, W

2

=350, C=25

мкФ

, current through the coil

W

2

is determined from the expression

2

3

0

3

2

0

2

2

)

(

)

(

W

L

M

b

L

M

b

i

+

=

current through the capacitor

C -

from the expression

2

2

2

2

2

2

2

*

*

*

dt

b

d

S

C

W

i

C

=

, and the supply voltage with the parameters of the stabilizer is related by the


background image

Volume 03 Issue 02-2023

50



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































expression

)

6

sin(

312

*

*

2

2

2

1

1

1

+

=

+

t

dt

db

S

W

dt

db

S

W

, the parameters for the Giles-Atherton model are taken

from Table 1.

Magnetization curve model
Giles-Atherton model
Experiment

Fig. 8. Dependence of the amplitudes of inductions in the rods on the amplitude of the input

voltage of the stabilizer

From the graphs in Fig. 8 it can be seen that in the
zone of existence of parametric oscillations (the
range of change in the amplitudes of the supply
voltages is between points a and b), the deviations
of the magnetic induction in rod 2 do not exceed
7-9% of the calculated values obtained from the
model of the magnetization curve and the Giles-
Atherton hysteresis loop model , for inductions in
rods 1 and 3 (not shown on the graphs), the
deviations are approximately in the same range

C

ONCLUSION

1.

Thus, the model of the magnetization

curve,

obtained

by

approximating

the

magnetization curve of a ferromagnetic material,
and the Giles-Atherton model can be taken to
analyze devices based on magnetically soft
amorphous materials, including those operating
in the saturation mode, and the maximum
calculation error does not exceed 7

nine%

2.

The errors in the calculations of magnetic

inductions obtained in the Giles-Atherton
hysteresis loop model and by approximating the
magnetization curve in the saturation zone of the
cores have approximately the same values


background image

Volume 03 Issue 02-2023

51



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































3.

The final conclusion about the advantages

of a particular model can be made only on the
basis of the final goals of the analysis.

R

EFERENCES

1.

Bedritskiy I.M. Comparative analysis of
analytical expressions for approximating
the magnetization curves of electrical
steels.

Proceedings of higher educational

institutions. Electro mechanics. 2011. №6.
С.39

-42

2.

Bedritskiy I.M., Juraeva K.K., Bazarov L.H.
Evaluation of the stability of the
parametric phase number converter.//
International Scientific Seminar. Yu.N.
Rudenko, Kazan, 2020.

s.12-18

3.

Bedritskiy I.M., Juraeva K.K., Bazarov L.H.,
Saidvaliev S.S. Using of the parametric
nonlinear

LC-circuitsin

stabilized

converters of the number of phases.// Jour
of Adv Research in Dynamical & Control
Systems, Vol. 12, Issue-06, 2020.

s.98-107

4.

D. Jiles, D. Atherton. Theory of
ferromagnetic hysteresis///Journal of
Magnetism and Magnetic Materials. Pp.48-
60.

1986

5.

D. Jiles, J. Thoelke, and M. Devine,

“Nume

rical determination of hysteresis

parameters for the modeling of magnetic
properties using theory of erromagnetic

hysteresis,”

IEEE

Transactions

on

magnetics, pp. 27

35, 1992

6.

G. Bertotti. Hysteresis in magnetism. San
Diego, Academic Press (1998) 558 p.

7.

I. D. Mayergoyz. IEEE Trans. Magn. 22 (5),
603 (1986).

8.

J. V. Leite, S. L. Avila, N. J. Batistela, W. P.
Carpes, N. Sadowski, P. Kuo-Peng, and J. P.

A. Bastos, “Real coded genetic algorithm

for jilesatherton model harameters

identification,” IEEE

Transactions on

magnetics, vol. 40, pp. 888

891, 2004

9.

John H. Chan, Andrei Vladimirescu, Xiao-
Chun Gao, Peter Liebmann and John
Valainis. Nonlinear Transformer Model for
Circuit Simulation. TRANSACTIONS ON
COMPUTER-AIDED DESIGN. VOL.10.1991.

№ 4

10.

Romain Marion, Riccardo Scorretti,
Nicolas Siauve, Marie-Ange Raulet ,
Laurent Krähenbühl. Identification of Jiles-
Atherton model parameters using Particle
Swarm Optimization.// Compumag 2007,
Jun 2007, Aachen, Germany. pp.1003. hal-
00179710s/1-4

11.

V. Yu. Vvedenskiy, E. N. Tokmakova. Model
of the hysteresis loop of soft-magnetic
amorphous alloys with the usage of a
modified linear fractional function./
Letters on Materials 11 (2), 2021 pp. 158-
163

12.

Amorfniye magnitomyagkiye splavi i ix
primeneniye v istochnikax vtorichnogo
elektropitaniya: Spravochnoye posobiye/
V.I. Xandogin, A.V. Raykova, N.N. Yershov i
dr..; pod red. Xandogina V.I.

M.: 1990.

170 s.

13.

Amorfniye metalli. Sudzuki K., Fudzimori
X., Xasimoto K./ Pod red. Masumoto S..Per
s yapon.

M.: Metallurgiya, 1987.

328 s.


background image

Volume 03 Issue 02-2023

52



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

03

I

SSUE

02

Pages:

38-52

SJIF

I

MPACT

FACTOR

(2021:

5.478

)

(2022:

5.636

)

(2023:

6.741

)

OCLC

1368736135















































14.

Bedritskiy

I.M.

Parametricheskiye

istochniki vtorichnogo elektropitaniya s
ferromagnitnimi elementami. Tashkent.:
«Innovatsion rivojlanish nashriyot-
manbaa uyi».

2020.

s. 164

15.

Володин В. Гистерезисная модел
нелинейной

индуктивности

симулятора

LNspice//Силовая

электроника.2010.№1. с. 158

-163

16.

Volodin

S.

Modelirovaniye

slojnix

elektromagnitnix

komponentov

pri

pomoshi

SPICE-

simulyatora

LTspice/SwCadIII.

//Komponenti

i

texnologii, №4, 2008 g., s.178

-133

17.

Kurbatova YE.A. MATLAB7. Samouchitel.
M.: «Vilyams», 2006.-256 s.

18.

Roginskaya L.E., Gorbunov A.S. Obzor
primenyayemix

mnogofaznix

transformatornix preobrazovateley chisla
faz.//Sovremenniye tendensii razvitiya

nauki i texnologiy. 2016. № 9

-2. S. 24-26.

19.

Roginskaya

L.E.,

Gorbunov

A.S.Matematicheskaya

model

mnogofaznogo

transformatornogo

preobrazovatelya chisla faz//Vestnik

nauchnix konferensiy. 2017. № 9

-3 (25). S.

170-172.

20.

Filimonov S.I. Razrabotka imitatsionnoy
modeli petli gisterezisa v programmnom
komplekse MATLAB/Vestnik BGTU im.

V.G. Shuxova 2016, №2. c.7

-15

21.

Chernix

I.V.

Modelirovaniye

elektrotexnicheskix ustroystv v MATLAB,
SimPowerSystems i Simulink. 2007.-s.278

References

Bedritskiy I.M. Comparative analysis of analytical expressions for approximating the magnetization curves of electrical steels.– Proceedings of higher educational institutions. Electro mechanics. 2011. №6. С.39-42

Bedritskiy I.M., Juraeva K.K., Bazarov L.H. Evaluation of the stability of the parametric phase number converter.// International Scientific Seminar. Yu.N. Rudenko, Kazan, 2020.–s.12-18

Bedritskiy I.M., Juraeva K.K., Bazarov L.H., Saidvaliev S.S. Using of the parametric nonlinear LC-circuitsin stabilized converters of the number of phases.// Jour of Adv Research in Dynamical & Control Systems, Vol. 12, Issue-06, 2020.–s.98-107

D. Jiles, D. Atherton. Theory of ferromagnetic hysteresis///Journal of Magnetism and Magnetic Materials. Pp.48-60.–1986

D. Jiles, J. Thoelke, and M. Devine, “Numerical determination of hysteresis parameters for the modeling of magnetic properties using theory of erromagnetic hysteresis,” IEEE Transactions on magnetics, pp. 27–35, 1992

G. Bertotti. Hysteresis in magnetism. San Diego, Academic Press (1998) 558 p.

I. D. Mayergoyz. IEEE Trans. Magn. 22 (5), 603 (1986).

J. V. Leite, S. L. Avila, N. J. Batistela, W. P. Carpes, N. Sadowski, P. Kuo-Peng, and J. P. A. Bastos, “Real coded genetic algorithm for jilesatherton model harameters identification,” IEEE Transactions on magnetics, vol. 40, pp. 888–891, 2004

John H. Chan, Andrei Vladimirescu, Xiao-Chun Gao, Peter Liebmann and John Valainis. Nonlinear Transformer Model for Circuit Simulation. TRANSACTIONS ON COMPUTER-AIDED DESIGN. VOL.10.1991. № 4

Romain Marion, Riccardo Scorretti, Nicolas Siauve, Marie-Ange Raulet , Laurent Krähenbühl. Identification of Jiles-Atherton model parameters using Particle Swarm Optimization.// Compumag 2007, Jun 2007, Aachen, Germany. pp.1003. hal-00179710s/1-4

V. Yu. Vvedenskiy, E. N. Tokmakova. Model of the hysteresis loop of soft-magnetic amorphous alloys with the usage of a modified linear fractional function./ Letters on Materials 11 (2), 2021 pp. 158-163

Amorfniye magnitomyagkiye splavi i ix primeneniye v istochnikax vtorichnogo elektropitaniya: Spravochnoye posobiye/ V.I. Xandogin, A.V. Raykova, N.N. Yershov i dr..; pod red. Xandogina V.I. –M.: 1990.– 170 s.

Amorfniye metalli. Sudzuki K., Fudzimori X., Xasimoto K./ Pod red. Masumoto S..Per s yapon.–M.: Metallurgiya, 1987.–328 s.

Bedritskiy I.M. Parametricheskiye istochniki vtorichnogo elektropitaniya s ferromagnitnimi elementami. Tashkent.: «Innovatsion rivojlanish nashriyot-manbaa uyi».–2020.–s. 164

Володин В. Гистерезисная модел нелинейной индуктивности симулятора LNspice//Силовая электроника.2010.№1. с. 158-163

Volodin S. Modelirovaniye slojnix elektromagnitnix komponentov pri pomoshi SPICE- simulyatora LTspice/SwCadIII. //Komponenti i texnologii, №4, 2008 g., s.178-133

Kurbatova YE.A. MATLAB7. Samouchitel. M.: «Vilyams», 2006.-256 s.

Roginskaya L.E., Gorbunov A.S. Obzor primenyayemix mnogofaznix transformatornix preobrazovateley chisla faz.//Sovremenniye tendensii razvitiya nauki i texnologiy. 2016. № 9-2. S. 24-26.

Roginskaya L.E., Gorbunov A.S.Matematicheskaya model mnogofaznogo transformatornogo preobrazovatelya chisla faz//Vestnik nauchnix konferensiy. 2017. № 9-3 (25). S. 170-172.

Filimonov S.I. Razrabotka imitatsionnoy modeli petli gisterezisa v programmnom komplekse MATLAB/Vestnik BGTU im. V.G. Shuxova 2016, №2. c.7-15

Chernix I.V. Modelirovaniye elektrotexnicheskix ustroystv v MATLAB, SimPowerSystems i Simulink. 2007.-s.278