=Paper= {{Paper |id=Vol-2899/paper028 |storemode=property |title=Classification of methods of moving the scanning sensor of a mechatronic profiler along the trajectories of plane curves |pdfUrl=https://ceur-ws.org/Vol-2899/paper028.pdf |volume=Vol-2899 |authors=Sergey Vasiliev }} ==Classification of methods of moving the scanning sensor of a mechatronic profiler along the trajectories of plane curves== https://ceur-ws.org/Vol-2899/paper028.pdf
Classification of methods of moving the scanning sensor of a
mechatronic profiler along the trajectories of plane curves
Sergey Vasiliev 1,2
1
    Chuvash State University named after I.N. Ulyanov, Cheboksary, 428015, Russia
2
    Nizhny Novgorod State University of Engineering and Economics, Knyaginino, 606340, Russia


                Abstract
                The paper considers using the plane curves analysis to classify the methods of moving the
                scanning sensor of a mechatronic profiler. The main purpose of the study is to determine the
                possibility of classifying the methods of moving the scanning sensor of a mechatronic profiler
                along the trajectories of plane curves using the characteristics obtained by analyzing the plain
                curves. According to the Archimedes spiral curve a large number of point clouds will be
                concentrated in the central part of the area under study that makes the study time-consuming
                as a whole. It is necessary to specify an optimal trajectory of the profiler sensor movement
                along the calculated plane curve to study of the surface thoroughly. It was found that using the
                trajectory of the sensor movement along the Fermat spiral is more promising, since the number
                of points scanned in the center is less and will be proportional to the number of points on the
                elementary plots evenly distributed on the area under study. The classification of methods of
                moving the scanning sensor of a mechatronic profiler was made on the basis of the results
                obtained in studying the trajectories of plain curves.

                Keywords 1
                Mechatronic profiler, scanning sensor

1. Introduction

   The paper considers using the plane curves analysis to classify the methods of moving the scanning
sensor of a mechatronic profiler. The main purpose of the study is to determine the possibility of
classifying the methods of moving the scanning sensor of a mechatronic profiler along the trajectories
of plane curves using the characteristics obtained by analyzing the spiral movement of the sensor.
   The field mechatronic profiler allows the laser sensor to move along the specified trajectories of
plain curves, mainly in spirals [1,2,3]. Spiral (french-“spirale”, latin - “spira” mean “spire”) is a plain
curve that usually goes around one or several points, moving to or away from them. The spirals can be
algebraic and pseudospirals. Algebraic spirals are the ones whose equation in polar coordinates is
algebraic relative to the variables r and j. Algebraic spirals include: hyperbolic spiral, Archimedean
spiral, Galilean spiral, Fermat spiral, parabolic spiral, lituus. Pseudospirals are apirals. Their natural
equations take into account the radius of curvature and the arc length. For m=1, the pseudospiral is a
logarithmic spiral, for m= -1 is Cornu spiral, and for m=1/2, the evolvent of circle.
   The existing mechatronic profiler [3,4,5,6], consists of a massive base, a level, an angle sensor, an
electronic unit, a laptop, a movable arm with a counterweight, a laser position sensor, a screw
mechanism with a carriage, electric motors, and a cylindrical transmission. The existing profiler and
the newly developed one have some similar components that include a base, a rack, an angle sensor, a
housing, a power supply unit, a control unit, a support wheel, a satellite, a field laptop, a laser sensor, a
screw, and electric motors. The disadvantage of the existing mechatronic profiler is its design that

III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021), May 28, 2021, Krasnoyarsk,
Russia
EMAIL: vsa_21@mail.ru (Sergey Vasiliev)
ORCID: 0000-0003-3346-7347 (Sergey Vasiliev)
             © 2021 Copyright for this paper by its authors.
             Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
             CEUR Workshop Proceedings (CEUR-WS.org)



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makes the process of surface profiling technologically difficult because of various cables connecting
the electronic signal processing unit, sensors, electric motors, and a laptop when the profiler performs
a large number of turns.

2. Materials and methods

    A field mechatronic profiler was developed in the Laboratory of Precision Mechanics and Robotics
of the Chuvash State University named after I. N. Ulyanov [7,8,9] (Figure 1:).
    The field mechatronic profiler consists of a base with mounting rods, a rack on which an angle sensor
is installed, a housing with a power supply unit and a control unit placed in it, a fixed support wheel 8,
a satellite communicating with it, a field laptop, a guide, a carriage, a laser position sensor, a screw,
electric motors, GPS receiver, an accelerometer, a gyroscope, a compass, a thermohygrometer, and a
soil moisture meter. The field laptop is provided with the information measurement system and
computer control to coordinate the operation of electric motors during the measurement, as well as with
a program for processing the data received from the sensors and devices. The housing is mounted on a
rack by means of rolling bearings. Fixed support wheel, a satellite and a motor located on the movable
housing are used to rotate it. The communication of the field laptop with the control unit, sensors,
electric motors, GPS receiver and measuring devices is provided via a Bluetooth connection using
Bluetooth radio modules built into the laser sensor, control unit and laptop.




Figure 1: Field mechatronic profiler of parallel‐serial structure: 1 –base, 2 – rack, 3 – housing, 4 –
electric motors, 5 – angle sensor (encoder), 6 – control unit, 7 – power supply unit, 8 – guide, 9 –
carriage, 10 – laser position sensor, 11 – laptop, 12 – wireless Bluetooth connection of the laptop and
the control unit, 13 – wireless Bluetooth connection of the laser position sensor and the control unit

3.Results and discussion
   Considering the movement of the laser sensor in the horizontal plane, you can see that its movements
are better described in polar coordinates. The position of the guide relative to the origin of coordinates
should be taken as the original one, and the deviation from the original one should be set by the angle


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of turning. The movement of the laser sensor along the guide will be determined by the length of the
beam from the origin/zero point of cordinates.
    For example, in full coordinates, the equation of a circle of a given radius centered at (0;0) will take
the form
                                                     R,
                                               
                                               0   i  360,                                       (1)
                                                z  H  0,
                                                i       i
where 𝜌 – is the radius of movement of the sensor in the i-th position, м; 𝜑 – i is the angle of turning
of the sensor in the i-th position, deg.
    This is a simple case of setting the sensor to move around a circle, but this trajectory also allows you
to get enough information about the scanned surface. When the sensor moves around a circle in the
horizontal plane, its laser beam will represent a generatrix moving around a circle, so that its other
positions will constantly be parallel to the initial projection. We get a rough circular cylinder that is
projected onto the scanned or studied surface. Assume that this surface is tilted at a certain angle, so in
this case the projection of the beam will be a curve in the form of an ellipse. Finally, to determine the
measurement path that is formed at the intersection of the tilted platform and a cylindrical surface with
a measurement radius R, we write the system of equations (2.15) in the polar coordinate system in the
form:
                                                        R,                                          (2)
                       
                                                 0   i  360,
                       z  Н  (H
                        i      i      x max  H 0 ) cos i  ( H y max  H 0 ) sin  i  H 0 .
   To convert into the Cartesian coordinate system, use the equations
                                              x  R cos  ,
                                             
                                              y  R sin  ,                                          (3)
                                              z  z.
                                             
where х – is the longitudinal coordinate, m; is the transverse coordinate, m; z - is the vertical coordinate
- the height of the surface irregularities at a given point, m.
    To determine the height of surface irregularities at a given point, use the expression
                                                   z  z max  z ,                                     (4)
                                                                                            ,
where z max - is the maximum distance between the position sensor and the surface, m; z - is the actual
distance between the position sensor and the surface at a given point, m.
    The scan in the Cartesian coordinate system can be obtained by a simple equation
                                              h  Rtg sin                                        (5)
where α – the slope of the surface under study, deg.; γ – the angle of turning from the zero point of the
laser sensor.
    Consider the following guide curve which sets the trajectory of the sensor movement – the
Archimedes spiral. The Archimedes spiral is determined by a plain curve and represents the trajectory
of the laser sensor, which moves uniformly along the guide from the zero point, while the guide itself
rotates uniformly around the axis of the device. The Archimedes spiral can be determined in full
coordinates by the equation
                                                  R  a  b ,                                    (6)
                                                 
                                                      a 
                                                    b ,  ,
                                                            
where а – the coefficient, b - the displacement of the laser sensor along the guide when it makes a turn
equal to one radian.
    If а=0, then
                                                   R  b ,                                       (7)
                                                  
                                                    0,  .


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   The displacement of the laser sensor along the guide when it makes a turn equal to one radian is
calculated by the expression
                                                          s                                        (8)
                                                     b
                                                         2 ,
where s – a spiral pitch.
   According to formulas (7) and (8), we will convert the expression (6)
                                                      s                                            (9)
                                                h      tg sin 
                                                     2            ,
   Using the obtained formula (9), we draw the dependence of the distance change from the laser sensor
to the tilted surface when scanning along the Archimedes spiral (Figure 2:). The sensor made 3.5
revolutions around the axis at a distance of 21 cm from it.
   In this case, the length of the path made by the laser sensor can be determined by the expression
                                        s                                                     (10)
                                   L       1   2  ln   1   2  
                                       4                             
   Using the obtained expression, we draw a graphical dependence scan length increase along the
Archimedes spiral (Figure 3:).

        h, сm
   15
   10
    5
    0
        0          200          400          600          800          1000         1200         1400
   -5
  -10
  -15
                                                                                            γ, deg.
Figure 2: Dependence of the distance change from the laser sensor to the tilted surface when
scanning along the Archimedes spiral

   The analysis of the obtained graph allows us to conclude that according to the found dependence, a
large number of point clouds will be concentrated in the central part of the area under study, which will
make the study time-consuming.
   Thus, to study of the surface thoroughly, it is necessary to find an optimal trajectory of the profiler
sensor movement along the calculated plain curve.




                                                    199
              h, cm
 16000
                                                                   y = 0,008x2 + 8E-05x + 0,0309
 14000

 12000

 10000

  8000

  6000

  4000

  2000

          0
              0             200     400       600            800         1000         1200          1400
                                                                                                   γ, deg.
Figure 3: Graphical dependence of the scan length increase along the Archimedes spiral

   Consider the following guide curve which sets the trajectory of the sensor movement – a Fermat
spiral or a parabolic one. Let us present the well-known polar equation for the Fermat spiral (Figure 4:)

                                             R  s 2                                                (11)
                                                        .
          h, cm
 3

 2

 1

 0
      0               200         400       600             800        1000          1200           1400
 -1

 -2

 -3
                                                                                               γ, deg.
Figure 4: Dependence of the distance change from the laser sensor to the tilted surface when
scanning along the Fermat spiral

    The analysis of the data obtained allows us to conclude that using the trajectory of the sensor
movement along the Fermat spiral it is more promising, since the number of points scanned in the center
is less and will be proportional to the elementary plots evenly distributed on the area under study.
    We will classify the methods of moving the scanning sensor of a mechatronic profiler (Figure 5:)
based on the results obtained in studying the trajectories of plain curves.




                                                    200
                                        Trajectories of the sensor
                                         movement along plane


          Around the circle                  Along the spiral              According to harmonic


                                               Archimedes                          Sinusoid

                                           Parabolic (Fermat)                    Cosinusoid


                                               Logarithmic

Figure 5: Classification of methods of moving the scanning sensor of a mechatronic profiler

   The analysis of the developed classification of methods of moving the scanning sensor of a
mechatronic profiler allows us to distinguish three main groups of plain curves. The profiler sensor
provides the necessary information about the surface under study moving along these curves [10, 11,
12].

4. Conclusions

    The developed classification of methods of moving the scanning sensor can be used in the control
programs of modern mechatronic profilers. The combination or sequential use of these trajectories will
allow obtaining the necessary information in the quantitative and qualitative measurement of the surface
under study with the possibility of creating a three-dimensional model.

Acknowledgment

  The article was prepared under the financial support of the Russian Federation President grant no.
MD-1198.2020.8.

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