<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>International Workshop on Computational Methods in Systems Engineering, June</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Computational method for researching turbulent velocity head in wind tunnel</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Oleksander Zhdanov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Victor Dehtiarov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Olha Sushchenko</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>State University “Kyiv Aviation Institute”</institution>
          ,
          <addr-line>Liubomyra Huzara Ave., 1, Kyiv, 03058</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2025</year>
      </pub-date>
      <volume>12</volume>
      <issue>2025</issue>
      <fpage>0000</fpage>
      <lpage>0001</lpage>
      <abstract>
        <p>This paper deals with researching the turbulent velocity head in the wind tunnel. The new equipment to reduce labor and energy costs for measurements and information assessment in the system mentioned above is proposed. A detailed description of the appropriate equipment is given. The usage of the one-degree-of-freedom coordinate unit is grounded. The design features of the comb with pressure sensors are represented. The algorithm for the information and measuring system operation has been developed. The basic stages of the computational method are described. The program realization of the technique in LabVIEW is characterized. The appropriate graphical dependencies, which represent the results of the developed method, are given.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;computational method</kwd>
        <kwd>information and measurement system</kwd>
        <kwd>turbulent velocity head</kwd>
        <kwd>wind tunnel</kwd>
        <kwd>experimental equipment</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        The problems of researching the aerodynamic characteristics of aircraft in wind tunnels have a definite
history [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Research on vortex generators in the turbulent flow is described in [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. The influence of
edge protuberances on the aircraft’s wing characteristics is represented in [
        <xref ref-type="bibr" rid="ref3 ref4">3, 4</xref>
        ]. Studies of the aircraft
characteristics in the wind tunnel have been given in [
        <xref ref-type="bibr" rid="ref5 ref6">5, 6</xref>
        ]. The features of tools in experiments in the
wind tunnel are represented in [7]. The first studies of the influence of volumetric vortex generators
installed on the nose of the aircraft airfoil began in the Aerodynamic Research Laboratory at the
Department of Aerodynamics and Flight Safety of the Kyiv Aviation Institute back in 2006 under the
leadership of Doctor of Technical Sciences, Prof. E.P. Udartsev [8]. The first patents on volumetric
vortex generators date back to 2010 [9, 10]. In 2018–2025, a large amount of experimental research
was carried out in the wind tunnel of the laboratory on the influence of installing volumetric vortex
generators on the aerodynamic characteristics of airfoil models of various types. Volumetric vortex
generator kits for installation on blowing models were designed and manufactured on a 3-D printer.
Studies have shown the efectiveness of using volumetric vortex generators to improve the change in
aerodynamic characteristics in the critical and subcritical areas of angles of attack, and the possibility
of maintaining and improving the flight characteristics in cruising flight modes [11, 12]. The research
mentioned above can be used in the synthesis of control laws for aircraft of various types [13, 14]. This
improves the safety of flights [15, 16, 17, 18].
      </p>
      <p>Due to the increased requirements for the development and operation of highly manoeuvrable and
allweather unmanned aerial vehicles, the above-mentioned topic has become particularly relevant today.
The computational method of researching turbulent head velocity represents a direct continuation of the
previous research. It is aimed to improve the flight and technical characteristics of aircraft in terms of
increasing flight safety in conditions of wind gusts, piloting errors by expanding the operational limits
of angles of attack and sideslip beyond critical values. The proposed approach improves characteristics
stability and controllability and ensures acceptable aerodynamic quality in cruising flight modes.</p>
      <p>A lot of work has been done to renew and adjust the experimental equipment to realize the proposed
computational method. In particular, this concerned the wind tunnel, on which the multi-fan installation
was modernized by replacing all 12 metal blades of imperfect aerodynamic shape on all 12 fans with
specially designed and manufactured aerodynamically high-quality plastic ones for specific dimensions
of the fan flow part and operating speeds, for right and left directions of rotation. The blades have a
geometric twist along the length, a variable chord, and curvature of the profile. The modernization
increased the eficiency of the wind tunnel; the airflow velocity in the empty working part of the wind
tunnel increased by ≈ 18%.
2. Description of information and measurement system
The basic approaches to implementing tests in the wind tunnel are given in [19, 20, 21].</p>
      <p>The study of the airflow velocity field requires the creation of new equipment to reduce labor and
energy costs for measurements and information assessment. The vertically moving rod with an air
pressure receiver at the end is a part of the equipment used in the research. Usually, the rod is moved
and fixed at the desired point by the operator in the Eifel chamber above the working part of the wind
tunnel.</p>
      <p>Initially, the possibility of installing an electromechanical drive for vertical movement of the rod
was considered. The main feature of this approach is the use of the one-degree-of-freedom coordinate
unit with a movement control system and computer-realized measurements. The drive mechanism of
the coordinate unit is located on the construction elements of the ceiling outside the working part in
specific places. The choice of these places is defined by the possibility of pushing out a rod with an air
pressure receiver above the ceiling of the working part. In this case, the function of manual movement
of the air pressure receiver and the presence of the researcher in the Eifel chamber are eliminated.</p>
      <p>Implementing the idea of a three-degree-of-freedom coordinate unit, or at least a
two-degree-offreedom coordinate unit, involves creating a complex structure of guides and mechanisms for moving in
the direction of three coordinate axes. These guides and mechanisms must be mounted in the working
part. Thus, they can create considerable clutter and dificulties for the measuring process. This can
negatively influence measurement results. At the same time, labour and energy costs will decrease
insignificantly.</p>
      <p>In this paper, a new idea is proposed. It lies in applying a comb with nine air pressure receivers
instead of one. The comb is installed vertically in the desired location and is fixed with one end to
the floor and the other to the ceiling of the working part of the wind tunnel. The realization of this
idea provides simultaneous measurement of airflow parameters at nine points located vertically for a
given flow velocity. After measurements, wind tunnel fans are turned of, the comb is moved to a new
location, and the test continues.</p>
      <p>Structurally, the comb represents a rectangular cross-section steel rod on which nine tubular air
pressure receivers and sets of appropriate serving units are mounted. Connections represent a system of
electrical and pneumatic lines. After calibrating pressure sensors installed on the comb, it is necessary
to renew the communication of pneumatic lines serving the set of sensors of single-barrel air pressure
receivers. These operations provide the working state of the equipment required for experimenting. The
measuring system is completed by a surface unit. Therefore, the comb can be installed in the desired
place of the working part of the wind tunnel. Examples of the location of the combs in the working
part are shown in Fig. 1 In the lower part of the comb, you can see the output of two cables with power
and information wires for two lines of pressure sensors. The cables connect the comb sensors to the
computer located in the operator room. A pneumatic line tube comes out, which supplies atmospheric
pressure from the operator’s room as a reference to the pressure sensors serving the six-barrel air
pressure receiver.</p>
      <p>The design features of the comb are the location of pressure sensors close to the inlets of the air
pressure receiver tubes. The short length of the pneumatic lines, ∼ 15 ÷ 20 cm, allows us to study air
pressure fluctuations as a characteristic of the turbulence in a wide frequency range compared to the</p>
      <p>m long, which is used during flow velocity measurements in research experiments.</p>
      <p>The information and measuring system provides measurement of the following airflow parameters
in the working part of the wind tunnel: full pressure  ; static pressure , coeficient of air pressure
receiver  ; density of air ; airflow velocity  .</p>
      <p>The algorithm of the information and measuring system can be described as follows. The first group
of sensors is installed inside the comb. It includes eight air pressure receivers and eight pressure sensors
(measuring channels 0-7). They measure the pressure diference between the total and static pressures</p>
      <p>Next, the velocity head
the airflow velocity
the average velocity head
the average speed
and the turbulence degree
∆  =  −  .</p>
      <p>=  ∆ ,
 = √︀2/,
 = ∑︁  ,</p>
      <p>=1
 = ∑︁  ,</p>
      <p>=1
 =
√︁∑︀
=1( −  ) 2/

(6)
are determined, where  is the number of measurements in the sample.</p>
      <p>Formulas (1) – (6) allow us to determine basic parameters of the velocity head. The calculation of
measuring results has been realized by techniques represented in [22, 23]. Averaging of measuring
results has been implemented according to the expressions given in [24].</p>
      <p>The coeficients of the airflow velocity head at the location of the air pressure receivers are determined
in the following way
  = /∆ .
(7)</p>
      <p>In formula (7), it is necessary to use the pressure drop in the Eifel chamber Pec relative to the
atmospheric pressure</p>
      <p>∆  = ∑︁( −  ). (8)</p>
      <p>=1</p>
      <p>Values (8) are determined using computer calculations based on the average values of the sensor
readings.</p>
      <p>Based on (7), the air velocity coeficients   , become
If the airflow velocity   is not calculated, then it is possible to determine</p>
      <p>= √  .
 = √︀2/.</p>
      <p>(9)
(10)
However, the formula (10) does not allow us to determine the degree of turbulence.</p>
      <p>The calculation of coeficients by expressions (7) and (9) requires applying the special equipment and
a calibration technique.</p>
      <p>The second group of sensors is also installed inside the comb and contains 6 sensors that serve 6
barrel nozzles (measuring channels 8–13). Sensors 91, 93, and 94, 95 measure pressure drops in the
side channels of the air pressure receiver nozzle relative to atmospheric pressure. They are used to
determine the directions of the airflow in the vertical and horizontal planes of the working part of the
air duct. The layout of the holes on the air pressure receiver nozzle is shown in Fig. 2.</p>
      <p>During the experiment, the average values of pressure drops on sensors 91, 93, and 94, 95 (see Fig. 2)
are determined and recorded. In the formulas, you can use the average values of pressure drops for
a certain time interval (or in each measurement cycle), define the instantaneous pressure diferences
between the sensors by the expressions, and then determine the average values of ∆ 1, ∆ 2).
∆ 1 = [(∆ 91 − ∆
93 − ∆
92]/[(∆ 91 − ∆
93 + ∆ 92]
(11)
∆ 2 = [(∆ 94 − ∆
95 − ∆
92]/[(∆ 94 − ∆</p>
      <p>In formulas (11) and (12), sensor 92 measures the total pressure, and sensor 96 measures the static
pressure relative to atmospheric pressure. In the experiment, the average values of pressure drops are
determined and recorded.</p>
      <p>The average value of static pressure from sensor 96 is recorded and used to analyze the change in
static pressure along the length of the working part of the wind tunnel. The diference in pressures
of sensors 92 and 96 is determined at each sensor measuring cycle to calculate the velocity head
9 =  9(92 −  96) and the remaining flow parameters in the same way as for the air pressure
receivers of the first group.
3. Computational method of determining characteristics of turbulent
velocity head in wind tunnel
The computational method for researching turbulent velocity head in the wind tunnel was developed
to determine the velocity head coeficients   using special experimental equipment with calibrated air
pressure receivers simultaneously at nine points located one above the other with a fixed step.</p>
      <p>The velocity field of the airflow in the working part of the wind tunnel was studied in five sections
with coordinates (distance from the nozzle cut towards the fans) 1 = 0 , 2 = 1130 , 3 =
1990 , 4 = 3030 , 5 = 4000 . In this case, the values of the velocity head coeficients  
were determined simultaneously for nine heights of the working part of the wind tunnel with coordinates
 = −1000 , −700 , −450 , −200 , 0 , 200 , 450 , 700 , 1000 .</p>
      <p>Determining the velocity head coeficients   was performed by measuring the signals (pressure
drops) on the air pressure receivers using an information and measuring system consisting of 15 pressure
sensors of the MPXV-5004 type manufactured by Freescale Semiconductor, connected by pneumatic
lines (tubes up to 0.2 m long) to 9 air pressure receivers.</p>
      <p>In addition to calculating the velocity head coeficients of the airflow in the wind tunnel, the pressure
drop in the Eifel chamber ∆  is measured. The electrical signal from the pressure sensors is fed to the
input of a multi-channel analog-digital converter of the PCI-1746U type manufactured by Advantech,
and then to a computer. The above-described structural scheme of the information and measuring
system is shown in Fig. 3.</p>
      <p>
        The computer realization of the information and measuring system has been implemented in the
environment of the specialized graphical programming tool LabVIEW, developed by National Instruments
(USA) [
        <xref ref-type="bibr" rid="ref7 ref8 ref9">25, 26, 27</xref>
        ].
      </p>
      <p>The user interface of the program for researching is shown in Fig. 4.</p>
      <p>The computational method for the research of the turbulent velocity head in the wind tunnel includes
several stages:
• Preparation for setting up components of the information and measuring system.
• Setting the current parameters of the experiment.
• Monitoring the signals and performing corrections of the current values of the measuring voltage
and velocities.</p>
      <p>• Carrying out the experiment, estimating and recording the measurement results.</p>
      <p>At the preparatory stage, the dynamic pressure conversion coeficients of all air pressure receivers
and their height coordinates are entered into the program. You can check the correctness of the entered
data on the indicators when the program is running. In this case, it is necessary to take into account the
binding of vertical coordinates to the middle of the tunnel; the displacement of values is approximately
1.25 m.</p>
      <p>The initial data include meteorological conditions of the experiment: temperature, humidity, and
atmospheric pressure. These parameters are used to calculate the air density outside and inside the
wind tunnel (in the Eifel chamber).</p>
      <p>The initial data also includes the parameters of the measurement signal sampling, such as the sampling
frequency and the duration (measurement time). The number of measuring channels is 17 (two groups
of 8 pressure sensors, one additional one in the Eifel chamber, and two sensors are free).</p>
      <p>During the experiment, it is desired to repeat measurements to improve the reliability and accuracy
of the results. The calculation of the airflow velocity using air pressure receivers and sensors requires
entering the conversion coeficients, taking into consideration the calibration procedure.</p>
      <p>Before starting the experiment, to reduce the influence of noise on the measurement results, the
upper limit of the digital filters of the signals coming from the pressure sensors should be chosen. The
bandwidth frequency is set in relative units from the sampling frequency.</p>
      <p>During the experiment, a series of measurements is performed for diferent positions of the air
pressure receivers in the wind tunnel cross-section. It is possible to record time signals of pressure
sensors, for example, for their further digital processing (spectral, correlation, statistical characteristics).</p>
      <p>After starting the wind tunnel and setting the required airflow velocity, the measurement process is
started. At the beginning of the first measurement, the path for storing the file of time realizations of
pressure sensor signals is prescribed. A standard window for searching and selecting the definite file on
the internal disk automatically appears. The file name is also automatically formed and displayed in the
window. During repeated measurements, new time realizations are added to the already created file.</p>
      <p>Next, the air pressure receiver’s pressure sensors are cyclically polled, and the values of pressures
and speeds, and other parameters are calculated.</p>
      <p>Measurement results can be observed using indicators that perform the following functions:
• Accompany the measurement process and show the time of its completion.
• Display the realizations of air pressure signals, and it is possible to consider the realizations of
individual channels in more detail.
• Show the average values of the realizations of the air pressures and their root mean square values.
• Show the realizations of the velocity signals.</p>
      <p>The main results are presented as a data array. For more convenient analysis, the data can be grouped
by the height of the air pressure receivers.</p>
      <p>At the end of the measurement series, the results are saved.</p>
      <p>The program for studying the velocity field in the wind tunnel, realized in LabVIEW, is represented
in Fig. 5.</p>
      <p>
        As a result of the research, eight air pressure receivers and three receivers of a known design were
tested. Since measuring the airflow velocity field in the working part of the wind tunnel was carried out
by air pressure receivers installed in a special structure (fairing), a similar structure was used during
calibration. In addition, some air pressure receivers were studied in isolation on a rod holder. The
obtained results, in combination with improved inertial sensors, can be useful in aircraft of increased
reliability [
        <xref ref-type="bibr" rid="ref10 ref11">28, 29</xref>
        ].
4. Results of the application of the computational method of
determining turbulent head velocity
The main individual parameter required for air pressure receivers is the dynamic pressure conversion
coeficient , which was determined experimentally for each air pressure receiver in the wind tunnel.
      </p>
      <p>
        To calibrate air pressure receivers and determine their Kt, a special software in the LabVIEW graphical
programming tool was developed [
        <xref ref-type="bibr" rid="ref7 ref8">25, 26</xref>
        ].
      </p>
      <p>To determine the repeatability of the research results, separate air pressure readings were used. All
air pressure receivers were tested in the maximum possible speed range. Figure 6 shows a graph of the
dependence of the dynamic pressure conversion coeficient  on the airflow velocity  for one air
pressure receiver for the full test range.</p>
      <p>
        The noise is caused by the airflow passing along the small holes of the air pressure receivers and
leads to the emergence of local aerodynamic efects [
        <xref ref-type="bibr" rid="ref12 ref13">30, 31</xref>
        ]. This is realized in the form of "whistling",
"rustling", collapse, etc. The noise signal is higher-frequency and, as can be seen from Fig. 7, is uniform.
      </p>
      <p>Although the level of the noise spectral components is much lower than the level of the flow
component of the spectrum, the influence of the noise component on the level of the root-mean-square
deviation can be significant, given the increased width of the range of noise components (from 10 to
250 Hz). Therefore, when measuring the degree of turbulence of the airflow, it is desirable to take into
account only the flow component of the pressure sensor signal and exclude the noise component.</p>
      <p>
        The proposed technique, together with the robust approach to the stabilization laws, can ensure the
high precision of stabilization processes [
        <xref ref-type="bibr" rid="ref14 ref15 ref16">32, 33, 34</xref>
        ]. The obtained results can also be useful for other
engineering applications [
        <xref ref-type="bibr" rid="ref17 ref18 ref19">35, 36, 37</xref>
        ].
      </p>
    </sec>
    <sec id="sec-2">
      <title>5. Conclusions</title>
      <p>A detailed analysis of the experimental equipment necessary for determining the turbulent velocity
head has been done.</p>
      <p>Features of mounting air pressure receivers are described. The structural scheme of the information
and measurement system and the algorithm of its operation are represented.</p>
      <p>The basic stages of the computational method for determining the turbulent head velocity are given.
The descriptions of preparatory setting components of the information and measuring system, setting
the current parameters of the experiment, monitoring the signals, correcting the current values of
measuring signals, carrying out the experiment, estimating and recording the measurement results are
represented.</p>
      <p>The program realization of the computational method in the LabVIEW system has been developed.</p>
      <p>The results of applying the computational method for determining the turbulent velocity head are
given.</p>
      <p>The dependence of the dynamic pressure conversion coeficient Kt on the airflow velocity V for one
air pressure receiver for the full time range is represented.</p>
      <p>The signal spectra of instantaneous airflow velocity values in the wind tunnel in the ranges up to 200
Hz and 20 Hz are shown.</p>
      <p>The represented research is important for improving aircraft operating eficiency in dificult conditions
of external disturbances and complex manoeuvres.</p>
      <p>The future work foresees the description of the calibration technique necessary for the eficient
operation of air pressure receivers.</p>
    </sec>
    <sec id="sec-3">
      <title>Acknowledgments</title>
      <p>This research is supported by the Ministry of Education and Science of Ukraine under the project
“Grounding aerodynamic layouts of promising unmanned aerial vehicles with volumetric vortex
generators on aerodynamic surfaces” (# 0124U000221).</p>
    </sec>
    <sec id="sec-4">
      <title>Declaration on Generative AI</title>
      <p>The author(s) have not employed any Generative AI tools.
[7] K. A. Salem, G. Palaia, C. Vittorio, B. Vincenzo, Tools and methodologies for box-wing aircraft
conceptual aerodynamic design and aeromechanic analysis, Mechanics and Industry 22 (2021)
1–19. doi:10.1051/meca/2021037.
[8] E. P. Udartsev, S. I. Alekseenko, O. I. Zhdanov, Unsteady aerodynamics of a vortex jet wing of an
unmanned aerial vehicle at large and closed angles of attack, Electronics and Control Systems 4
(2015) 40–45. URL: http://nbuv.gov.ua/UJRN/etsu_2015_4_8.
[9] E. P. Udartsev, O. I. Zhdanov, O. I. Shcherbonos, Generator of vortices, 2010. Patent of Ukraine.</p>
      <p>UA49403, 26.04.2010.
[10] O. I. Zhdanov, et al., Windmill blade, 2010. Patent on the useful model. UA 49404 U, Bulletin No. 21.
[11] O. Zhdanov, V. Orlianskyi, O. Sushchenko, Researching influence of vortex generators on aircraft
aerodynamic characteristics, in: Proceedings of the 2nd International Workshop on Advances in
Civil Aviation Systems Development (ACASD 2024), volume 992 of Lecture Notes in Networks and
Systems, Springer, Cham, 2024, pp. 410–422. doi:10.1007/978-3-031-60196-5_30.
[12] M. Zaliskyi, O. Solomentsev, O. Holubnychyi, I. Ostroumov, O. Sushchenko, Y. Averyanova, et al.,
Methodology for substantiating the infrastructure of aviation radio equipment repair centers,
CEUR Workshop Proceedings 3732 (2024) 136–148.
[13] O. Holubnychyi, M. Zaliskyi, I. Ostroumov, O. Sushchenko, O. Solomentsev, Y. Averyanova,
et al., Self-organization technique with a norm transformation based filtering for sustainable
infocommunications within cns/atm systems, in: I. Ostroumov, M. Zaliskyi (Eds.), Proceedings of
the 2nd International Workshop on Advances in Civil Aviation Systems Development. ACASD
2024. Lecture Notes in Networks and Systems, vol. 992, Springer Nature Switzerland, Cham, 2024,
pp. 262–278. doi:10.1007/978-3-031-60196-5_20.
[14] O. Solomentsev, M. Zaliskyi, O. Holubnychyi, I. Ostroumov, O. Sushchenko, Y. Bezkorovainyi, et al.,
Eficiency analysis of current repair procedures for aviation radio equipment, in: I. Ostroumov,
M. Zaliskyi (Eds.), Proceedings of the 2nd International Workshop on Advances in Civil Aviation
Systems Development. ACASD 2024. Lecture Notes in Networks and Systems, vol. 992, Springer
Nature Switzerland, Cham, 2024, pp. 281–295. doi:10.1007/978-3-031-60196-5_21.
[15] O. Sushchenko, A. Goncharenko, Design of robust systems for stabilization of unmanned aerial
vehicle equipment, International Journal of Aerospace Engineering (2016) 1–10. doi:10.1155/
2016/6054081.
[16] T. Nikitina, B. Kuznetsov, Y. Averyanova, O. Sushchenko, I. Ostroumov, N. Kuzmenko, et al.,
Method for design of magnetic field active silencing system based on robust meta model, in:
S. Shukla, H. Sayama, J. V. Kureethara, D. K. Mishra (Eds.), Data Science and Security. IDSCS 2023.
Lecture Notes in Networks and Systems, vol. 922, Springer Nature Singapore, Singapore, 2024, pp.
103–111. doi:10.1007/978-981-97-0975-5_9.
[17] O. Sushchenko, Y. Bezkorovainyi, O. Solomentsev, M. Zaliskyi, O. Holubnychyi, I. Ostroumov,
et al., Algorithm of determining errors of gimballed inertial navigation system, in: O.
Gervasi, B. Murgante, C. Garau, D. Taniar, A. M. A. C. Rocha, M. N. Faginas Lago (Eds.),
Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes
in Computer Science, vol. 14816, Springer Nature Switzerland, Cham, 2024, pp. 206–218.
doi:10.1007/978-3-031-65223-3_14.
[18] O. Ivashchuk, et al., A configuration analysis of ukrainian flight routes network, in: 2021 IEEE
16th International Conference on the Experience of Designing and Application of CAD Systems
(CADSM), 2021, pp. 6–10. doi:10.1109/CADSM52681.2021.9385263.
[19] B. Chanetz, J. Délery, P. Gilliéron, E. R. Gnemmi, P. Gowree, P. Perrier, Experimental Aerodynamics,</p>
      <p>Springer, Cham, 2022.
[20] C. D. Britcher, D. Landman, Wind Tunnel Test Technique, Academic Press, Cambridge, 2024.
[21] J. B. Barlow, W. H. Rat, Low-Speed Wind Tunnel Testing, John Wiley &amp; Sons, London, 1999.
[22] D. Sundararajan, Digital Signal Processing: An Introduction, Springer, Cham, 2024.
[23] J. R. Taylor, An Introduction to Error Analysis: The Study of Uncertainties in Physical
Measurements, Mill Valley, California, 2022.
[24] J. P. Buonaccorsi, Measurement Error: Models, Methods and Applications, CRC Press, Boca Raton,</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <given-names>C. J.</given-names>
            <surname>Lin</surname>
          </string-name>
          ,
          <article-title>Review of research on low-profile vortex generators to control boundary-layer separation</article-title>
          ,
          <source>Progress in Aerospace Sciences</source>
          <volume>38</volume>
          (
          <year>2002</year>
          )
          <fpage>389</fpage>
          -
          <lpage>420</lpage>
          . doi:
          <volume>10</volume>
          .1016/S0376-
          <volume>0421</volume>
          (
          <issue>02</issue>
          )
          <fpage>00010</fpage>
          -
          <lpage>6</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>J. S.</given-names>
            <surname>Delinero</surname>
          </string-name>
          ,
          <string-name>
            <surname>J. M. D. Leo</surname>
            ,
            <given-names>M. E.</given-names>
          </string-name>
          <string-name>
            <surname>Camocardi</surname>
          </string-name>
          ,
          <article-title>Vortex generators efect on low reynolds number airfoils in turbulent flow</article-title>
          ,
          <source>International Journal of Aerodynamics</source>
          <volume>2</volume>
          (
          <year>2020</year>
          )
          <fpage>1</fpage>
          -
          <lpage>14</lpage>
          . doi:
          <volume>10</volume>
          .1504/ IJAD.
          <year>2012</year>
          .
          <volume>046539</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>H.</given-names>
            <surname>Johari</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Henoch</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Custodio</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Levshin</surname>
          </string-name>
          ,
          <article-title>Efects of leading-edge protuberances on airfoil performance</article-title>
          ,
          <source>AIAA Journal 45</source>
          (
          <year>2007</year>
          )
          <fpage>2634</fpage>
          -
          <lpage>2642</lpage>
          . doi:
          <volume>10</volume>
          .2514/1.28497.
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>A. K.</given-names>
            <surname>Malipeddi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Mahmoudnejad</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K. A.</given-names>
            <surname>Hofmann</surname>
          </string-name>
          ,
          <article-title>Numerical analysis of efects of leadingedge protuberances on aircraft wing performance</article-title>
          ,
          <source>Journal of Aircraft</source>
          <volume>49</volume>
          (
          <year>2012</year>
          )
          <fpage>1336</fpage>
          -
          <lpage>1344</lpage>
          . doi:
          <volume>10</volume>
          .2514/1.C031670.
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>D.</given-names>
            <surname>Custodio</surname>
          </string-name>
          ,
          <string-name>
            <given-names>C. W.</given-names>
            <surname>Henoch</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Johari</surname>
          </string-name>
          ,
          <article-title>Aerodynamic characteristics of finite span wings with leading-edge protuberances</article-title>
          ,
          <source>AIAA Journal 53</source>
          (
          <year>2015</year>
          )
          <fpage>1878</fpage>
          -
          <lpage>1893</lpage>
          . doi:
          <volume>10</volume>
          .2514/1.J053568.
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <given-names>P. S.</given-names>
            <surname>Divekar</surname>
          </string-name>
          ,
          <string-name>
            <given-names>T.</given-names>
            <surname>Ekbote</surname>
          </string-name>
          ,
          <article-title>Design of aerodynamic of an airplane wings</article-title>
          ,
          <source>International Journal of Scientific Development and Research (IJSDR) 4</source>
          (
          <year>2019</year>
          )
          <fpage>59</fpage>
          -
          <lpage>64</lpage>
          . URL: https://www.ijsdr.org/viewpaperforall. php?paper=
          <fpage>IJSDR1910011</fpage>
          .
          <year>2010</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [25]
          <string-name>
            <given-names>R.</given-names>
            <surname>Jennings</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A. D. L.</given-names>
            <surname>Cueva</surname>
          </string-name>
          , LabVIEW Graphical Programming,
          <string-name>
            <surname>McGraw-Hill</surname>
          </string-name>
          ,
          <year>2019</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [26]
          <string-name>
            <surname>R. B. Larsen</surname>
          </string-name>
          , LabVIEW for Engineers, Pearson, London,
          <year>2010</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [27]
          <string-name>
            <given-names>B.</given-names>
            <surname>Ehsayi</surname>
          </string-name>
          ,
          <article-title>Data Acquisition Using LabVIEW</article-title>
          , Packt Publishing, Birmingham,
          <year>2016</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [28]
          <string-name>
            <given-names>V.</given-names>
            <surname>Chikovani</surname>
          </string-name>
          ,
          <string-name>
            <given-names>O.</given-names>
            <surname>Sushchenko</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Tsiruk</surname>
          </string-name>
          ,
          <article-title>Redundant information processing techniques comparison for diferential vibratory gyroscope</article-title>
          ,
          <source>Eastern-European Journal of Enterprise Technologies</source>
          <volume>4</volume>
          (
          <year>2016</year>
          )
          <fpage>45</fpage>
          -
          <lpage>52</lpage>
          . doi:
          <volume>10</volume>
          .15587/
          <fpage>1729</fpage>
          -
          <lpage>4061</lpage>
          .
          <year>2016</year>
          .
          <volume>75206</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [29]
          <string-name>
            <given-names>O. A.</given-names>
            <surname>Sushchenko</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Y. M.</given-names>
            <surname>Bezkorovainyi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V. O.</given-names>
            <surname>Golitsyn</surname>
          </string-name>
          ,
          <article-title>Fault-tolerant inertial measuring instrument with neural network</article-title>
          ,
          <source>in: Proceedings of IEEE 40th International Conference on Electronics and Nanotechnology</source>
          , Kyiv, Ukraine,
          <year>2020</year>
          , pp.
          <fpage>797</fpage>
          -
          <lpage>801</lpage>
          . doi:
          <volume>10</volume>
          .1109/ELNANO50318.
          <year>2020</year>
          .
          <volume>9088779</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [30]
          <string-name>
            <given-names>R. S.</given-names>
            <surname>Voliansky</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A. V.</given-names>
            <surname>Sadovoi</surname>
          </string-name>
          ,
          <article-title>The transformation of linear dynamical object's equation to brunovsky canonical form</article-title>
          ,
          <source>in: Proceedings of IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments</source>
          , Kyiv, Ukraine,
          <year>2017</year>
          , pp.
          <fpage>196</fpage>
          -
          <lpage>199</lpage>
          . doi:
          <volume>10</volume>
          .1109/ APUAVD.
          <year>2017</year>
          .
          <volume>8308808</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [31]
          <string-name>
            <given-names>B. I.</given-names>
            <surname>Kuznetsov</surname>
          </string-name>
          , T. B.
          <string-name>
            <surname>Nikitina</surname>
            ,
            <given-names>I. V.</given-names>
          </string-name>
          <string-name>
            <surname>Bovdui</surname>
          </string-name>
          ,
          <article-title>Structural-parametric synthesis of rolling mills multimotor electric drives</article-title>
          , Electrical Engineering &amp;
          <string-name>
            <surname>Electromechanics</surname>
          </string-name>
          (
          <year>2020</year>
          )
          <fpage>25</fpage>
          -
          <lpage>30</lpage>
          . doi:
          <volume>10</volume>
          .20998/ 2074-
          <fpage>272X</fpage>
          .
          <year>2020</year>
          .
          <volume>5</volume>
          .04.
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [32]
          <string-name>
            <given-names>B. I.</given-names>
            <surname>Kuznetsov</surname>
          </string-name>
          , T. B.
          <string-name>
            <surname>Nikitina</surname>
            ,
            <given-names>I. V.</given-names>
          </string-name>
          <string-name>
            <surname>Bovdui</surname>
          </string-name>
          ,
          <article-title>Multiobjective synthesis of two degrees of freedom nonlinear robust control by discrete continuous plant</article-title>
          ,
          <source>Technical Electrodynamics</source>
          (
          <year>2020</year>
          )
          <fpage>10</fpage>
          -
          <lpage>14</lpage>
          . doi:
          <volume>10</volume>
          .20998/2074-
          <fpage>272X</fpage>
          .
          <year>2020</year>
          .
          <volume>5</volume>
          .04.
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [33]
          <string-name>
            <given-names>S.</given-names>
            <surname>Osadchyi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Zozulia</surname>
          </string-name>
          ,
          <article-title>Synthesis of optimal multivariable robust systems of stochastic stabilization of moving objects</article-title>
          ,
          <source>in: Proceedings of 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments</source>
          , Kyiv, Ukraine,
          <year>2019</year>
          , pp.
          <fpage>106</fpage>
          -
          <lpage>111</lpage>
          . doi:
          <volume>10</volume>
          .1109/APUAVD47061.
          <year>2019</year>
          .
          <volume>8943861</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [34]
          <string-name>
            <given-names>S. I.</given-names>
            <surname>Osadchy</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V. A.</given-names>
            <surname>Zozulya</surname>
          </string-name>
          ,
          <string-name>
            <given-names>I. A.</given-names>
            <surname>Bereziuk</surname>
          </string-name>
          ,
          <string-name>
            <surname>M. M. Melnichenko</surname>
          </string-name>
          ,
          <article-title>Stabilization of the angular position of hexapod platform on board of a ship in the conditions of motions, Automatic Control</article-title>
          and
          <source>Computer Sciences</source>
          <volume>56</volume>
          (
          <year>2022</year>
          )
          <fpage>221</fpage>
          -
          <lpage>229</lpage>
          . doi:
          <volume>10</volume>
          .3103/S0146411622030051.
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [35]
          <string-name>
            <given-names>K.</given-names>
            <surname>Dergachov</surname>
          </string-name>
          , et al.,
          <article-title>Gps usage analysis for angular orientation practical tasks solving</article-title>
          ,
          <source>in: Proceedings of 2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology, Kharkiv, Ukraine</source>
          ,
          <year>2022</year>
          , pp.
          <fpage>187</fpage>
          -
          <lpage>192</lpage>
          . doi:
          <volume>10</volume>
          .1109/PICST57299.
          <year>2022</year>
          .
          <volume>10238629</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [36]
          <string-name>
            <given-names>T.</given-names>
            <surname>Nikitina</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B.</given-names>
            <surname>Kuznetsov</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Ruzhentsev</surname>
          </string-name>
          ,
          <string-name>
            <given-names>O.</given-names>
            <surname>Havrylenko</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Dergachov</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Volosyuk</surname>
          </string-name>
          , et al.,
          <article-title>Algorithm of robust control for multi-stand rolling mill strip based on stochastic multi-swarm multi-agent optimization</article-title>
          , in: S. Shukla,
          <string-name>
            <given-names>H.</given-names>
            <surname>Sayama</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J. V.</given-names>
            <surname>Kureethara</surname>
          </string-name>
          , D. K. Mishra (Eds.),
          <source>Data Science and Security. IDSCS 2023. Lecture Notes in Networks and Systems</source>
          , vol.
          <volume>922</volume>
          , Springer Nature Singapore, Singapore,
          <year>2024</year>
          , pp.
          <fpage>247</fpage>
          -
          <lpage>255</lpage>
          . doi:
          <volume>10</volume>
          .1007/
          <fpage>978</fpage>
          -981-97-0975-5_
          <fpage>22</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          [37]
          <string-name>
            <given-names>A.</given-names>
            <surname>Popov</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Tserne</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Volosyuk</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Zhyla</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Pavlikov</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Ruzhentsev</surname>
          </string-name>
          , et al.,
          <article-title>Invariant polarization signatures for recognition of hydrometeors by airborne weather radars</article-title>
          , in: O.
          <string-name>
            <surname>Gervasi</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          <string-name>
            <surname>Murgante</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          <string-name>
            <surname>Taniar</surname>
            ,
            <given-names>B. O.</given-names>
          </string-name>
          <string-name>
            <surname>Apduhan</surname>
            ,
            <given-names>A. C.</given-names>
          </string-name>
          <string-name>
            <surname>Braga</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          <string-name>
            <surname>Garau</surname>
            ,
            <given-names>A</given-names>
          </string-name>
          . Stratigea (Eds.),
          <source>Computational Science and Its Applications - ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science</source>
          , vol.
          <volume>13956</volume>
          , Springer Nature Switzerland, Cham,
          <year>2023</year>
          , pp.
          <fpage>201</fpage>
          -
          <lpage>217</lpage>
          . doi:
          <volume>10</volume>
          .1007/978-3-
          <fpage>031</fpage>
          -36805-9_
          <fpage>14</fpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>