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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Computer Modeling of Multi-Mass Electromechanical Systems</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>National University “Zaporizhzhia Politecnic”</institution>
          ,
          <addr-line>Zhukovsky str., 64, Zaporizhzhia, 69063</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>Industrial process plants and units are mostly multi-mass electromechanical systems with a number of features such as damping friction, elastic coupling, clearance and others. The article is devoted to computer modeling of multi-mass electromechanical systems taking into account elastic bonds of the first and second kind on the example of electromechanical systems of cold rolling mills. A comparison of the electromechanical processes obtained during the simulation with the monitoring data of real equipment confirmed their adequacy (the relative modeling error does not exceed 9%), that allows to use these models at modernization of existing and designing of new automatic control systems of electric drives of multi-mass electromechanical systems.</p>
      </abstract>
      <kwd-group>
        <kwd>modeling</kwd>
        <kwd>multi-mass system</kwd>
        <kwd>electromechanical system</kwd>
        <kwd>electric drive</kwd>
        <kwd>cold rolling mill</kwd>
        <kwd>the first and second kind elastic bonds</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Currently, automation of technological and production processes using mathematical
and computer models is the most popular and progressive approach to the
modernization of existing and the development of new automatic control systems. The electric
drive as an actuator of many units and complexes used in various industries, science
and technology, largely determines their operational characteristics. In transient
electromechanical processes, there is a continuous conversion of energy from one type to
another due to the presence of various energy storage devices (electrical,
electromagnetic, thermal, mechanical), as well as various energy converters interconnected by
mechanical (elastic), electrical or magnetic bonds. The mechanical part of the electric
drive may have a branched multi-mass system with gaps (backlashes) and
viscoelastic mechanical elements (long shaft, cable, rolled metal strip), interconnected by a
constant or variable gear ratio. During operation of an industrial unit, the magnitude
of the moving mass and the moment of inertia (casting machines, winding and
unwinding mechanisms of the rolled strip) can change, which affects the dynamics and
statics of the entire system. All this leads to the complexity of the analysis and
synthesis of automatic control systems, so the development of mathematical and
computer models of multi-mass electromechanical systems is a relevant task.</p>
    </sec>
    <sec id="sec-2">
      <title>Formal problem statement</title>
      <p>The purpose of the work is the development and study of computer models of
multimass electromechanical systems taking into account the elastic bonds of the first and
second kind on the example of electromechanical systems of cold rolling mills
(CRM).
3</p>
    </sec>
    <sec id="sec-3">
      <title>Literature review</title>
      <p>
        A fairly large number of works are known related to the study of the effect of elastic
transmissions on the quality of transients of one-, two- [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1-3</xref>
        ], five- [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] and multi-mass
systems [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Most of these systems are unbranched and take into account the influence
of elastic bonds described by Hooke's law. Some of the researchers consider such
systems taking into account dry friction [
        <xref ref-type="bibr" rid="ref6 ref7">6, 7</xref>
        ], as well as other nonlinearities [
        <xref ref-type="bibr" rid="ref8 ref9">8, 9</xref>
        ] to
obtain properties that are closer to a real object. Some researchers use the procedure
for identifying multi-mass systems, which is promising for obtaining mechanical
parameters, such as inertia or shaft stiffness [
        <xref ref-type="bibr" rid="ref10 ref11 ref12">10-12</xref>
        ]. Multimass systems with elastic
coupling are found in many industrial applications, for example, in wind power plants
[
        <xref ref-type="bibr" rid="ref13 ref14">13, 14</xref>
        ], in public utilities, for example, when considering a passenger or freight
elevator as a two- or three-mass system (engine, elevator car and counterweight) [
        <xref ref-type="bibr" rid="ref15 ref16">15,
16</xref>
        ], as well as in the automotive industry, for example, when considering the drive of
electric vehicles taking into account the number of drive wheels, the distribution of
torque between them [17, 18]. A number of works are devoted to the study of the
dynamic properties of adaptive neuroregulators, optimal, relay, modal, and robust
regulators based on a two-mass system with a complex mechanical structure [19-21]
and a variable moment of inertia [20, 23], which confirms the interest of scientists in
such objects. Models of two-mass and multi-mass systems are used in the educational
process [24] and in developing educational and research laboratory stands based on
them [25-27]. However, not enough attention is paid to the consideration of
multimass systems with elastic gears of the first and second kind.
4
      </p>
    </sec>
    <sec id="sec-4">
      <title>Mathematical description of multi-mass electromechanical systems</title>
      <p>
        When creating automation systems using computer and microprocessor technology
for predicting, designing and optimizing equipment parameters and cold rolling
technology, the role of mathematical modeling increases [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. The development of methods
and universal mathematical models for studying the dynamic modes of operation of
electromechanical systems is a very urgent task, which is caused by the desire of
researchers to most fully reflect the features of the object in the model (complicate the
model), on one hand, and present it as an element of the system (to simplify the model
if possible), on the other [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. One of the most common purposes of models is their
application in the study and prediction of the behavior of complex processes and
phenomena. Another, no less important, purpose of the models is to identify the most
significant factors that form certain properties of the object, the consideration of
which is necessary in the study of various processes or phenomena [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>Since mathematical modeling is the most perfect and effective modeling method,
which, when researching and optimizing, is based on modern methods of
mathematical analysis, computational mathematics, and programming, it is advisable to study
electromechanical complexes on mathematical models. However, the models of most
EMSs are not always adequate to their originals because of the complexity of taking
into account all the circumstances and features of real processes in the mathematical
description.</p>
      <p>
        Due to the high level of modern programming, it is possible to take into account a
set of EMS identification factors when choosing a software product, such as the type
of mathematical description of the EMS under study; features of data presentation;
type of presentation of calculation results; the possibility of flexible changes or
editing of the mathematical model, algorithms, accuracy, selection and automation of the
use of numerical methods in the calculation of systems of differential equations, the
ability to automate the calculation process [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. To solve the problems of researching
automated EP systems, the following software tools are used: MATLAB,
MATHCAD, LABVIEW, MATHEMATICA and others.
      </p>
      <p>It is convenient enough to consider EMS as a set of structural schemes, especially
when it is necessary to synthesize the structure and parameters of control systems.
Conventionally, it is possible to single out CRM aggregates that are universal for
most mills: winding and unwinding devices, rolling stand, leveling machine, scissors
cutting rolled metal. In addition, all these units are interconnected: the unwinding
device feeds the rolled strip to the work rolls of the rolling stand, from the stand the
strip enters either the subsequent stands (if it is the multi-train mill), or to the leveling
machine, from which the strip comes out, which is fed to the winder, or scissors for
transverse or longitudinal cutting for the subsequent formation of sheets of the
required format. Each of these units is driven by an electric motor, which is elastically
connected to the actuator through a long shaft. Therefore, in the above set of basic
elements of CRM, it is necessary to add such structural units as the “long shaft” and
the “rolled strip”, which are elastic bonds of the first and second genera. The selection
of the most suitable method for solving practical rolling problems is often a rather
difficult task, the solution of which when creating a model of a specific production
equipment, namely, CRM, will require significant time costs.</p>
      <p>Therefore, the idea of creating a library of blocks for constructing the necessary
CRM is relevant.</p>
      <p>As a multi-mass interconnected system, a mechanical system with rotating masses
connected in series by elastic elements taking into account viscous friction is
considered. In addition, in the general case, it is possible to take into account dry friction,
changes in the moments of inertia of rotating masses and gear ratio in gears.</p>
      <p>Figure 1 shows the system in question, where J 1 ,J 2 ,J 3 ...J n - rotating mass of
system, N∙mꞏsec,
1 ,2 ,3 ...n
- angular velocities of specified
masses, sec 1 ,
M 1 ,M 2 ,M 3 ...M n - moving mass moments, N∙m, M 12 ,M 34 ,M 56 ...M n1,n - moments
created in the
elastic
coupling
of the first kind
of "long
shaft",</p>
      <p>N∙m,
C12 ,C34 ,C56 ...Cn1,n - elasticity of the long shaft connection, N∙m /rad, b12 ,b34 ,b56 ...bn1,n
- intrinsic viscosity coefficient in gears between J n1 and J n , N∙mꞏsec, F24 ,F46 ...Fn2,n
- tensile forces occurring in a second kind of elastic coupling (e.g. a metal strip being
rolled), N, L - the distance between adjacent masses connected by a second kind of
elastic coupling, m.</p>
      <p>As is known, the total moment acting on n rotating mass is equal to the algebraic
sum of moments which are attached to this mass. In general, these are: motor torque,
load resistance torque, deformation torque of the elastic element (elastic torque), dry
and viscous (internal and external) friction moments, as well as variable elastic torque
due to non-uniform machine running [28].</p>
      <p>Mass with inertia moment J n is an electric motor that drives a rotary actuator
J n1 . They are connected by the elastic coupling of the first kind of "long shaft", the
deformation of which is linear and subject to Hook's law.
(1)
(2)
(3)</p>
      <p>Positioned actuators one after the other J n , J n2 (for cold rolling mills, it is a
unwinding mechanism, stand or stands, a winding mechanism) are connected by elastic
bonds of a second kind, such as the transported material or the rolled metal strip,
which are described by the system (3).</p>
      <p>
Fn2,n ( p )  Cnp12,n Vn1 ( p )  1   n2,n ( p )Vn ( p );
 n2,n ( p )  Fn2,n ( p );
 Cn2,n L
where Cc  U nom  Inom  RM - – constructive engine coefficient, Vsec; Cm 
nom I nom
mechanical engine steel, Nm/А, U nom , I nom ,nom ,M nom - nominal voltage, current,
angular speed and torque, which are calculated according to the passport data of the
engine.</p>
      <p>The elastic torque is proportional to the angle of rotation of the shaft or the
difference in rotation angles of the individual masses. M n1,n , viscous friction torque M vf
M nom
in the elastic element is proportional to the difference in velocity and very small, the
torque of external viscous friction. M evf (damping torque) is proportional to speed
and affects the dynamic torque, but its value is negligibly small and often not taken
into account in the calculations. The elastic coupling of the first kind is described by
the system (2), where p – Laplace operator, n - mass damping coefficient J n
N∙mꞏsec.</p>
      <p>M n1,n ( p )  Cn1,n ( n1 ( p )  n ( p ))  Cn1,n ( n1 ( p )  n ( p )),

 p
M vf ( p )  bn-1,n ( n1 ( p )  n ( p )),
M evf ( p )  n n ( p ),
M n1,n ( p )  M С  J n pn ( p ),
M n1 ( p )  M n1,n ( p )  J n1 pn1 ( p ).



Ec  EM  I a R  L
where n2,n - percentage elongation.</p>
      <p>The mathematical description of the state of the metal between the cage and the
winding-unwinding mechanism was supplemented by the ability of reversing
 Cn2,n Vn1 ( p )  1  n2,n ( p )Vn ( p ), if Vn1  Vn  0  winding ;
 p
Fn2,n ( p )   Cn2,n Vn ( p )  1  n2,n ( p )Vn1( p ), if Vn1  Vn  0  unwinding ; (4)
 p
0, if Vn1  Vn  0  lack of tension during a technological pause.

</p>
      <p>During the rolling process, the strip along the entire length has a different
thickness, which, however, falls within the tolerance limits for deviation. Changing the
value of h affects the tension of the strip F , as well as its elastic properties. The
C
thickness variation should also be taken into account when calculating the current
value of the radius of the roll, mass, and the moment of inertia of the roll.</p>
      <p>Let us supplement the well-known mathematical description of elasticities of the
second kind [28] by taking into account the variable thickness of the strip, as well as
the following condition under which the effect of breaking the strip is simulated, that
is, when the current value of the tension force in the strip Fn2,n achieves the critical
F(n2,n )max , the metal strip breaks, and in the mathematical description the output value
of the tension force Fn2,n is nullified:</p>
      <p>Fn2,n  0F,ni2f,n F,nif2,Fnn2F,n (n2F,n()nma2x,n,) max ,</p>
      <p>F(n2,n ) max  K r  F( n2,n ) rab ,
where Kr – coefficient of tensile strength of the material (in the model it is accepted
as K r =1,5); F( n2,n )rab – metal tension force during operating modes of rolling.</p>
      <p>Quantities K r , F( n2,n )rab are determined taking into account the physical and
mechanical properties of the material and the geometric dimensions of the rolled strip.</p>
      <p>When describing the elastic coupling of the second kind, the following assumption
is accepted [28]: the material is homogeneous and has the same thickness and length
along the whole length; the influence of the mass of the material on its deformation
can be neglected; the deformation has a purely elastic character and is uniformly
distributed along the cross-section; wave processes related to the distribution of
deformation along the length can be neglected.</p>
      <p>mJnn11(( pp))  m n1(( Rpn2)(1(Rpn1)(pR)02)R;0 )2 / i 2 ;

Rn1 ( p ) 

Vn1  Rn1n1( p );
Vn  Rn n ( p ).</p>
      <p>h
R02   Vn1( p );
(5)
(6)
(7)</p>
      <p>The mathematical description of the winding (unwinding) device takes into
account Jn1 - variable component of the inertia moment of the winding (unwinding)
device of CRM, mn1 - metal coil mass; i - gear ratio;  - specific gravity of rolling
material; R0 - winder drum radius, h - the thickness of the metal strip rolled, as
shown in the system (7).
5</p>
    </sec>
    <sec id="sec-5">
      <title>Computer models of multi-mass electromechanical systems</title>
      <p>When modeling using the Simulink libraries of the MATLAB, the principle of visual
programming according to structural schemes is implemented, according to which the
user draws a model of the object on the screen from the library of standard blocks and
performs calculations in automatic mode, with the ability to control the calculation
time and establish initial conditions. Also, user has the opportunity to choose a
method for solving differential equations (Runge-Kutt, Rosenbrock, Dormand-Prince,
Adams, etc.), choose the type of solution (with variable or constant step), upgrade
library blocks, create their own, as well as creating new block libraries, which is
especially important when conducting research in a fairly narrow industry, for example,
the production of cold rolled sheets.</p>
      <p>Based on the mathematical description of the multi-mass electromechanical
systems, computer models have been created that simulate the operation of
windingunwinding mechanisms, a working stand, as well as a model of a rolled strip of metal,
taking into account changes in strip thickness and an emergency caused by strip
breakage. These models were controlled using models of DC motors of independent
excitation and automatic control systems. Each model is an independent subsystem
with ports of input and output coordinates. For convenience, a separate logo was
created, which is depicted on the model above, an interface for introducing and changing
the parameters of each of the subsystems. This approach has advantages, since any
unit has the ability to connect to another through mechanical, electrical and
information communication channels. It is possible to observe any electromechanical
coordinates and set various rolling modes depending on the process. One of the main units
of the cold rolling mill is a winding (unwinding) mechanism Motalka. Based on
system (7), a of the winding mechanism of the mill, shown in Figure 3, and the similar
models structure shown in Figure 4, created in Matlab / Simulink.</p>
      <p>The difference between the computer model of the unwinder from the one of the
winder is that in the model of unwinder at the initial instant of time, the moment of
inertia, diameter, and mass of the roll are maximum, and in the model of the winder
are minimum, they take into account the direction of movement of the strip and the
tasks of initial conditions.</p>
      <p>The model of the working stand (Kletka) takes into account not only the rotating
masses and the balance of moments, but also provides the possibility of loading the
stand from the pressure channel (pressure screws) through the Nagim input port. The
coefficients of friction and rolling designated in the model as Kaf0, Kaf_a, the
pressure force FN from the side of the pressure screws is indicated by Nagim, since there
is no possibility to use indexes in the application package in which the simulation was
performed. Therefore, the linear speed of the strip at the exit of the stand is indicated
by V_kl, the forces forming the front and rear tension in the stand are indicated by
F12 and F01, respectively.</p>
      <p>According to (1), a model VAL was created that simulates the elastic “long shaft”
connection between the engine and the drive (Figure 4). In the VAL model, the
internal damping coefficient is denoted by b, the angle of rotation of the motor shaft is fi1,
the angle of rotation of the shaft of the drive mechanism (of winder, unwinder, stand
and others) is fi3, d1 ,3 – are the angular speeds of rotation of the shaft ends. This
model does not take into account gaps in the mechanical part and, if necessary, can be
supplemented by dead zones or non-linear blocks. But this will complicate the whole
model, which is not always advisable.</p>
      <p>Also, Figure 4 shows a metal model connecting two neighboring units. Note that
by its structure it is universal, suitable for all sections of the stand. This model is a
second kind elastic link, since the force (moment) between adjacent drives is
transmitted through the transported material. To illustrate the consideration of material’s
properties, namely the residual elongation when the strip is broken, the dependence
F = f(ε) is simulated, which displays the tensile strength of the material (Figure 5).
Comparing the obtained dependence with the stretching diagram of the rolled strip, it
can be seen that it corresponds to theoretical [29]
To simulate random influences from the rolled metal’s side, Motalka, Prokat, Kletka
blocks can be supplemented with input ports h, which allows us to study the operation
of these mechanisms with a random change in the thickness of the rolled material.
The inconsistency of the value of h leads to a change in the stiffness of the strip Ср
and affects its elastic properties. Also, the influence of the thickness of the strip is
taken into account in the model of the winder (when calculating the current value of
the radius, mass, moment of inertia and mass of the roll) and the stand, where the
resistance moment changes with h due to an increase in the rolling force.</p>
      <p>For example, Figure 6 shows a model of a shaper of the thickness of a strip of
random nature and the generated signal. To simulate changes in the strip thickness, a
source of a random signal with a uniform distribution (uniform random number) was
used. The signal level is limited by the values of Maximum and Minimum above and
below, the frequency of signal changes is set by the Sample time parameter, the range
of variation of the value of h is 0,4%.
6</p>
    </sec>
    <sec id="sec-6">
      <title>Experiments and results</title>
      <p>To check the adequacy of the developed computer models, the multi-mass
electromechanical system of the single-stand cold rolling mill of cold rolling shop No. 1 of
Zaporizhstal JSC was simulated (Figure 7) and the simulation results under normal
rolling conditions and in case of a strip break were compared with the results of
monitoring of this mill [30] in an industrial environment (Figure 8, Figure 9). The data for
modeling coincide with the data of real equipment with existing automatic control
systems (SAU), rolling of one roll is considered.
Comparison of the model obtained and experimental values shows that the relative
error does not exceed 8.12%. The average statistical relative error of the entire model
was calculated am =3,79 %.</p>
      <p>Using the developed computer models, the work of a four-stand CRM was
simulated (Figure 10). The ZADANIE subsystem is created on the basis of the “speed
wedge” principle, that is, the angular speed of the engines of each next stand has a
steeper section of acceleration to the operating speed compared to the previous one
and, accordingly, a higher working speed. This is due to the increase in the length of
the strip after processing it with each stand. For each subsequent stand, the
corresponding value of the pressing force is set, that is, the force with which the pressing
screws act on the rolled strip is regulated. In the SAU units, a linear change in the
voltage across the windings of the armature of the motors was set, and the voltage in
the field winding was varied based on maintaining a constant linear velocity and
tension of the rolled metal during winding and unwinding (taking into account the
variation of the current radial size of the roll).</p>
      <p>Fig. 8. Average CRM electromechanical processes (a), simulation results (b) under normal
rolling conditions
Fig. 9. Average CRM electromechanical processes (a), simulation results (b) in case of a strip
break</p>
      <p>At the Figure 11: currents of armature windings of engines (a); angular velocities
of the motors of the stands (b); linear speeds of the strip movement (c); changing the
radius of the roll on the winder (d); a change in the mass and moment of inertia of
each of the stands (e), (f). The numbers 1, 2, 3, 4 indicate the working stands of the
mill: the first, second, third and fourth, respectively. The speed task for these stands is
set based on the principle of “speed wedge”, that is, the speed of metal passage
through the stands increases from the first stand to the fourth, as it is necessary to
maintain a constant volume of the metal. Each subsequent stand increases the length
of the rolled strip and reduces the thickness, so the linear speed of the strip increases.
When winding a coil, the mass, moment of inertia and radius of the roll increase, as
shown in Figure 11 (d), (e,) (f).</p>
      <p>Comparison of the transient graphs obtained during the simulation with the data of
the operating equipment of Zaporizhsal JSC confirmed the adequacy of the developed
model of the four-stand mill. Thus, we can conclude that the developed mathematical
and computer models of the main drives, automatic control systems, actuators and
transients are adequate for the real equipment and transient schedules of the mills cold
rolling shop No. 1 of Zaporizhstal JSC.
7</p>
    </sec>
    <sec id="sec-7">
      <title>Conclusion</title>
      <p>Complex of interconnected computer models of the basic elements of rolling
production has been developed, which allows you to take into account the elastic bonds of
the first and second kinds between the electric drives of the rolling stand and the
winding-unwinding mechanism.</p>
      <p>Method for studying multi-mass electromechanical systems on example of the
main mechanisms of cold rolling mills with variable moments of inertia, static
resistance, and metal strip thickness by using the developed complex of computer models
of the basic elements of rolling production is proposed.</p>
      <p>The mathematical description of the rolling processes of the strip has been
improved by taking into account its variable thickness, the effect of breakage and the
dependence of the tension force on the relative elongation, which is the basis for the
development of mathematical models that allow you to simulate the work and study
the quality of control processes for the interconnected electric drives of the main
mechanisms of cold rolling mills. A parameter is introduced that takes into account
the variable thickness of the metal strip and allows to increase the adequacy and
accuracy of mathematical models of the winding-unwinding mechanism and rolling stand.</p>
      <p>A comparison of the electromechanical processes obtained during the simulation
with the monitoring data of real equipment confirmed their adequacy (the relative
modeling error does not exceed 9%) and the possibility of using the developed set of
computer models for the synthesis and study of cold rolling mills control systems.</p>
      <p>Thus, the consistent use of well-known packages in solving problems of a
particular industry allows us to obtain the desired result in the study and modernization of
existing control systems, as well as in the development of new control systems for
multi-mass electromechanical systems.
17. Osadchy, V.V., Nazarova, E.S., Brylystiy, V.V.: The structure of the control system of a
4drive power plant for electric vehicles. Problems of Regional Energy (special issue), No.
12 (41), pp. 65-73 (2019) doi: 10.5281/zenodo.3239150
18. Voliansky, R. Sadovoi, O. Sokhina, Y. and Volianska, N.: Active Suspension Control
System. In: IEEE International Conference on Modern Electrical and Energy Systems
(MEES), Kremenchuk, Ukraine, pp. 10-13 (2019) doi: 10.1109/MEES.2019.8896419
19. Ha, Q. P. and Negnevitsky, M.: A robust modal controller with fuzzy tuning for
multimass electromechanical systems. In: Proceedings of Third Australian and New Zealand
Conference on Intelligent Information Systems. ANZIIS-95, Perth, WA, Australia, pp.
214-219 (1995) doi: 10.1109/ANZIIS.1995.705743
20. Luczak, D. and Pajchrowski, T.: Application of Adaptive Neural Controller and Filter
Tune for Multi-Mass Drive System. In: 20th European Conference on Power Electronics
and Applications (EPE'18 ECCE Europe), Riga, pp. P.1-P.9 (2018)
21. Lukichev, D. V., Demidova, G. L., Kuzin A. Y. and Saushev, A. V.: Application of
adaptive Neuro Fuzzy Inference System (ANFIS) controller in servodrive with multi-mass
object. In: 25th International Workshop on Electric Drives: Optimization in Control of
Electric Drives (IWED), Moscow, pp. 1-6 (2018) doi: 10.1109/IWED.2018.8321388
22. Burian, S.O., Kiselychnyk, O.I., Pushkar, M.V., Reshetnik V.S., Zemlianukhina, H.Y.:
Energy-Efficient Control of Pump Units Based On Neural-Network Parameter Observer.</p>
      <p>Technical Electrodynamics, no.1, pp. 71-77(2020)
23. Nazarova, O.S., Yefimenko, R.A.: Features of modeling electromechanical systems with a
variable moment of inertia. Visnik NTU «KhPI», no. 27(1249), pp. 71-74 (2017)
24. Zbaravska, L., Chaikovska, O., Hutsol T., Slobodian, S., Dumanskyi, O.: Professional
competence as a key factor in improving the quality of engineering education.
Environment. Technology. Resources. Rezekne, Latvia, Proceedings of the 12th International
Scientific and Practical Conference, Vol. III, pp. 253-256. (2019) doi:
http://dx.doi.org/10.17770/etr2019vol3.4118.
25. Osadchiy, V.V., Nazarova, E.S., Brylisty, V.V., Savilov, R.I.: Laboratory stand for
research of microprocessor control systems for a two-mass electric drive. Electrotechnical
and computer systems, No. 22 (98), pp. 33-38 (2016)
doi: https://doi.org/10.15276/eltecs.22.98.2016.05
26. Osadchiy, V.V., Nazarova, E.S., Tobolkin S.Yu.: Laboratory bench for researching
algorithms of microprocessor control systems for stepper motor. Elektromehanichni
іenergosberigauchi systemy, vol. 2/(26), pp.102-108 (2014)
27. Chornyi, О.P., Serhiienko, S.A.: A virtual complex with the parametric adjustment to
electromechanical system parameters. Tekhnichna elektrodynamika, No 1, pp. 38–41 (2019)
doi: https://doi.org/10.15407/techned2019.01.038
28. Nazarova, E.S.: Mathematical modeling of electromechanical systems of cold rolling
mills. Tekhnichna elektrodynamika, No. 5, pp. 82-89 (2015)
29. Nazarova, E.S., Pirozhok, A.V., Nechpay, A.S., Podpruzhnikov, P.A.: Taking into account
the effect of breaking the rolled strip when modeling electric drives of two adjacent stands
of a cold rolling mill. Electrical engineering and electricity, No. 2, pp. 37-41 (2011)
doi: https://doi.org/10.15588/1607-6761-2011-2-6
30. Nazarova, E.S.: On the issue of developing diagnostic systems for electromechanical
systems of cold rolling mills. Electrical engineering and power engineering, No. 1, pp. 36-41
(2013) doi: https://doi.org/10.15588/1607-6761-2013-1-6</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Seppo</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          <article-title>Saarakkala and Hinkkanen, Marko: Identification of Two-Mass Mechanical Systems Using Torque Excitation: Design and Experimental Evaluation</article-title>
          .
          <source>IEEE Transactions On Industry Applications</source>
          , vol.
          <volume>51</volume>
          , no.
          <issue>5</issue>
          , pp.
          <fpage>4180</fpage>
          -
          <lpage>4189</lpage>
          (
          <year>2015</year>
          ) doi: 10.1109/TIA.
          <year>2015</year>
          .2416128
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Kaniuk</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vasylets</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Varfolomiyev</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mezeria</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Antonenko</surname>
          </string-name>
          , N.:
          <article-title>Development of neural-network and fuzzy models of multimass electromechanical systems</article-title>
          .
          <source>EasternEuropean Journal of Enterprise Technologies, no. 3/2</source>
          (
          <issue>99</issue>
          ), рр.
          <fpage>51</fpage>
          -
          <lpage>63</lpage>
          (
          <year>2019</year>
          ) doi: 10.15587/
          <fpage>1729</fpage>
          -
          <lpage>4061</lpage>
          .
          <year>2019</year>
          .169080
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Szabat</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Orlowska-Kowalska</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          :
          <article-title>Vibration Suppression in a Two-Mass Drive System Using PI Speed Controller and Additional Feedbacks - Comparative Study</article-title>
          .
          <source>IEEE Transactions on Industrial Electronics</source>
          , vol.
          <volume>54</volume>
          , no.
          <issue>2</issue>
          , pp.
          <fpage>1193</fpage>
          -
          <lpage>1206</lpage>
          , (
          <year>2007</year>
          ) doi: 10.1109/TIE.
          <year>2007</year>
          .892608
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Aboah</surname>
          </string-name>
          , Boateng Emmanuel, Normanyo, Erwin:
          <article-title>Investigating Efficiency of a Five-Mass Electromechanical System having Damping Friction, Elastic Coupling and Clearance</article-title>
          .
          <source>International Journal of Engineering Research &amp; Technology (IJERT)</source>
          , vol.
          <volume>6</volume>
          , рр.
          <fpage>94</fpage>
          -
          <lpage>98</lpage>
          (
          <year>2017</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Łuczak</surname>
          </string-name>
          , Dominik:
          <article-title>Mathematical model of multi-mass electric drive system with flexible connection</article-title>
          .
          <source>In: 19th International Conference on Methods and Models in Automation and Robotics</source>
          ,
          <source>(MMAR)</source>
          , (
          <year>2014</year>
          ) doi: 10.1109/MMAR.
          <year>2014</year>
          .6957420
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Lukichev</surname>
            ,
            <given-names>D. V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Demidova</surname>
            ,
            <given-names>G. L.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Brock</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Application of fuzzy cooperative coevolution adaptive control for damping of torsional vibrations in multi-mass drive system</article-title>
          .
          <source>In: 19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe)</source>
          , Warsaw,
          <year>2017</year>
          , pp.
          <source>P</source>
          .1-P.
          <year>10</year>
          . (
          <year>2017</year>
          ) doi: 10.23919/EPE17ECCEEurope.
          <year>2017</year>
          .8099208
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Li</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wang</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wang</surname>
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wei</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chen</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Zhang</surname>
          </string-name>
          , C.:
          <article-title>Control of multi-mass flexible transmission system based on the notch filter</article-title>
          .
          <source>In: Proceedings of the 32nd Chinese Control Conference, Xi'an</source>
          , pp.
          <fpage>4282</fpage>
          -
          <lpage>4285</lpage>
          (
          <year>2013</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Hackl</surname>
            ,
            <given-names>C. M.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Schroder</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Funnel-Control for Nonlinear Multi-Mass Flexible Systems</article-title>
          .
          <source>In: IECON 32nd Annual Conference on IEEE Industrial Electronics</source>
          , Paris, pp.
          <fpage>4707</fpage>
          -
          <lpage>4712</lpage>
          . (
          <year>2006</year>
          ) doi: 10.1109/IECON.
          <year>2006</year>
          .347369
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Voliansky</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sadovoi</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Volianska</surname>
          </string-name>
          , N.:
          <article-title>Defining of Lyapunov Functions for the Generalized Nonlinear Object</article-title>
          .
          <source>In: 2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)</source>
          , Kiev, pp.
          <fpage>222</fpage>
          -
          <lpage>228</lpage>
          (
          <year>2018</year>
          ) doi: 10.1109/MSNMC.
          <year>2018</year>
          .8576315
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Łuczak</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Zawirski</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>Parametric identification of multi-mass mechanical systems in electrical drives using nonlinear least squares method</article-title>
          .
          <source>IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society</source>
          , Yokohama, pp.
          <fpage>004046</fpage>
          -
          <lpage>004051</lpage>
          (
          <year>2015</year>
          ) doi: 10.1109/IECON.
          <year>2015</year>
          .7392730
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Łuczak</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Nowopolski</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>Identification of multi-mass mechanical systems in electrical drives</article-title>
          .
          <source>In: Proceedings of the 16th International Conference on Mechatronics - Mechatronika</source>
          <year>2014</year>
          , Brno, pp.
          <fpage>275</fpage>
          -
          <lpage>282</lpage>
          (
          <year>2014</year>
          ) doi: 10.1109/MECHATRONIKA.
          <year>2014</year>
          .7018271
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Zoubek</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          <article-title>and</article-title>
          <string-name>
            <surname>Pacas</surname>
            ,
            <given-names>M.:</given-names>
          </string-name>
          <article-title>An identification method for multi-mass-systems in speedsensorless operation</article-title>
          .
          <source>In: 2011 IEEE International Symposium on Industrial Electronics, Gdansk</source>
          , pp.
          <fpage>1895</fpage>
          -
          <lpage>1900</lpage>
          (
          <year>2011</year>
          ) doi: 10.1109/ISIE.
          <year>2011</year>
          .5984447
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Muyeen</surname>
            ,
            <given-names>S. M.</given-names>
          </string-name>
          et al.:
          <article-title>Transient Stability Analysis of Wind Generator System with the Consideration of Multi-Mass Shaft Model</article-title>
          .
          <source>International Conference on Power Electronics and Drives Systems</source>
          , Kuala Lumpur, pp.
          <fpage>511</fpage>
          -
          <lpage>516</lpage>
          (
          <year>2005</year>
          ) doi: 10.1109/PEDS.
          <year>2005</year>
          .1619740
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Joost</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          <string-name>
            <surname>Mehler</surname>
          </string-name>
          and Orlik B.:
          <article-title>Dynamic load change stress minimizing control of elastically coupled multi-mass systems</article-title>
          .
          <source>In: 12th International Conference on Optimization of Electrical and Electronic Equipment</source>
          , Basov, pp.
          <fpage>754</fpage>
          -
          <lpage>759</lpage>
          (
          <year>2010</year>
          ) doi: 10.1109/OPTIM.
          <year>2010</year>
          .5510374
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15.
          <string-name>
            <surname>Nazarova</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Osadchyy</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shulzhenko</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Accuracy improving of the two-speed elevator positioning by the identification of loading degree</article-title>
          .
          <source>In: IEEE International Conference on Modern Electrical and Energy Systems (MEES)</source>
          , Kremenchuk, Ukraine, рр.
          <fpage>50</fpage>
          -
          <lpage>53</lpage>
          (
          <year>2019</year>
          ) doi: 10.1109/MEES.
          <year>2019</year>
          .8896414
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Osadchiy</surname>
            ,
            <given-names>V.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nazarova</surname>
            ,
            <given-names>O.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shulzhenko</surname>
            ,
            <given-names>S.S.</given-names>
          </string-name>
          :
          <article-title>Identification of the level of completion of a two-part elevator</article-title>
          .
          <source>Electrotechnical and computer systems</source>
          , No.
          <volume>27</volume>
          (
          <issue>103</issue>
          ), pp
          <fpage>103</fpage>
          -
          <lpage>111</lpage>
          (
          <year>2018</year>
          ) doi: https://doi.org/10.15276/eltecs.27.103.
          <year>2018</year>
          .11
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>