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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Quality Assessment of Aircraft Glide Path Entrance</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>National Aviation University</institution>
          ,
          <addr-line>Kyiv, Lubomir Husar avenue 1, 03058</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>The article proposes a method for analyzing and assessment of aircraft glide path in three-dimensional coordinates. The issues of prediction of glide path boundaries by autocorrelation function at different flight complexity have been considered. This is particularly true in the event of abnormal situations in flight. Negative factors impact on pilots' psychophysiological state may lead to quality deterioration of flight technique. In most cases pilots don't notice it. Thus they need to be informed about this. In this regard a comparison method of autocorrelation functions is suggested. The landing quality depends on accuracy execution of all stages of land approach. Therefore the proposed methods introduction with further warning automation on deterioration of glide path supposes flying safety benefits. These methods were developed for the director regime of modern aircrafts management.</p>
      </abstract>
      <kwd-group>
        <kwd>flight trajectory</kwd>
        <kwd>glide path</kwd>
        <kwd>human factor</kwd>
        <kwd>parameters amplitude</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Modern automatic control systems make it possible to unload the crew from routine
operations and perform flights in conditions of poor visibility. However, in abnormal
flight operations it is necessary to go to the director mode of aircraft control [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. This
can lead to increased psychophysiological pilot’s tension that in most cases negatively
affects the quality of aircraft piloting techniques. The article proposes a method for
analyzing and assessing of aircraft glide path in three-dimensional coordinates and
method introduction with further warning automation on deterioration of glide path
supposes flying safety benefits. It should be noted that flights safety issues rank one
of the main places in the air transport system. The final approach (landing) depends
on timely glide path entrance and its further path following. Many authors devote
their work to the problem of the human factor in aviation [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref2 ref3 ref4 ref5 ref6 ref7 ref8 ref9">2-12</xref>
        ]. Some authors
consider the final approach [
        <xref ref-type="bibr" rid="ref13 ref14 ref15">13-15</xref>
        ]. The glide path boundaries are regulated by
restrictions on altitude and course, but in special flight cases pilots may not withstand
the necessary flight paths. Probability boundaries of the glide path are modeled by the
correlation functions of flight parameters. Human operator tension is determined even
by one flight parameter. It is reasonably to demonstrate this on the information model
of a pilot’s sensorimotor field. In addition theoretical training of the crew in this
direction is necessary.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Problem statement</title>
      <p>Goal. The goal of this work is to improve ergatic control system quality of an aircraft
at the glide path entrance.</p>
      <p>Often amplitude increasing of an aircraft’s flight parameters (AIAFP) occurs due
to a pilot’s increased psychophysiological tension. A human-operator’s tension
increasing can be determined by the autocorrelation functions of flight parameters.
Until that time such a method was considered only on a glide path landing. In this article
there is also a good reason to analyze a glide capture phase.
3 Determination method of glide path capture boundaries in
the form of an ellipsoid
The operator uses information I (t), that is under distortion I'(t) due to a combination
of certain reasons.</p>
      <p>I ' (t) = I (t)  (1 + m(t) cos t),
where Ω=2πf is angle speed, f is frequency, m(t) is amplitude.</p>
      <p>
        Function I'(t) can take this form on the basis of the an experimental fact of the
existence of the phenomenon of amplitude increasing of an aircraft’s flight parameters
(AIAFP) including due to a pilot’s increased psychophysiological tension. This is
about integro-differentiated motor dynamic stereotype. It is the end result of human
operator’s actions when piloting [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
      </p>
      <p>If the functions m(t), I(t) – stationary random functions, φi = const ( i = i ), i –
the test number (landing approach) according to the known tests category (landings).
Then the function I'(t) depends only on time and is completely determined by the
result of each test, landing.</p>
      <p>The above data are obtained after considering a correlation function of flight path
trajectory (). According to () the aircraft should fly without information
distortions in the reception of information and management.</p>
      <p> ( ) = I (t)  I (t − ) =
 1 TL
= lim    I (t)  I (t − )dt =</p>
      <p>T → TL  0
1 TL</p>
      <p> I (t)  I (t − )dt,
TL 0
(1)
(2)
where τ is delay time, TL is flight time at a certain specific area of length L, for
example, TL=Tп, where Tп is an airplane’s landing time.</p>
      <p>A correlation function AIAFP is presented in the following form:</p>
      <p>A correlation function of landing trajectory with AIAFP equals the sum of a
correlation function of landing trajectory without AIAFP and a term depending on statistics
of trajectory without AIAFP trajectory without AIAFP and statistics AIAFP.</p>
      <p>In general, we describe the flight path of the aircraft using the function: Z = f (x,
y).</p>
      <p>When landing, this trajectory is determined by the path of the glide path:</p>
      <p>Z = f (x, y) = const.</p>
      <p>The flight trajectory is determined by the ergatic system and is related to pitch
angles (υ), roll angle (γ), slope of the trajectory (θ), heading (ψ), and the speed (ν) of the
aircraft. The coordinates of the flight trajectory are dependent on all the above
parameters listed and are determined by the functional expressions:</p>
      <p>Z=F1 (υ, γ, θ, ψ, ν), Y=F2 (υ, γ, θ, ψ, ν), X=F3 (υ, γ, θ, ψ, ν).</p>
      <p>Glide path coordinates (y=const):</p>
      <p>Z=F4 (υ, γ, θ, ν), ψ=const, Z=F5 (υ, γ, θ, ν), y=const.</p>
      <p>
        We define the glide path trajectory with a straight line connecting the position of
the beacon (x = L, Z = 0) and the point at which the landing began (x = 0, Z0 = h). In
(Fig. 1), these points are characterized by a significant angle of change in the
trajectory α. The real flight trajectory assumes smooth smoothing of the indicated angles,
which in the future must be taken into account [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ].
      </p>
      <p>Glide path coordinates are determined by the relationship:
where Z0 is the initial coordinate along the height, α is the angle between the
trajectory line and the direction X; Z0 = h, tgα = –h/L, L is the length of the glide path. In
these designations, the glide path trajectory will look like:</p>
      <p>Z = Z0+x∙tgα ,
Z (x) = h −
h  x .</p>
      <p>L
 AIAFP( ) =  ( ) +</p>
      <p>I (t)  I (t − )mi (t)  mi (t − ) cos i .</p>
      <p>To further analyze the movement of the aircraft during landing, we calculate the
correlation function of the trajectory described by the equation Z (x):
 (χ ) =
1 l</p>
      <p> Z (x) Z (x − χ )dx.</p>
      <p>L 0
Consider one of the possible variants (fig. 1).</p>
      <p>Normal glide path entry Z = h − h</p>
      <p>L
 x = h</p>
      <p>L − x</p>
      <p>L
Ahead Z = h L − x</p>
      <p>L + x
−  ;
−   x  L;
; 0  x  L;
(3)
(4)
(5)
Delay Z = h L − x</p>
      <p>L − x
+  ;</p>
      <p>  x  L.
a)
c)</p>
      <p>Let us split the range (0, L) into two parts (0, L – χ ) and (0, L + χ ). Outrunning
function at part (L – χ , L) equals zero: Z ( x + χ ) = 0. Consequently, the outrunning
correlation function is determined by integrating only in the interval of (0, L – χ )
b)
h2
L
(6)
(7)
(8)
 = L p − 2L pr + Lpr ,
where functions Lρp, Lρpr, Lρr are respectively the autocorrelation functions of the
planned flight (Lρp), the correlation function between the planned trajectory and the
real trajectory Lρpr, and ρr is the autocorrelation function of the real flight trajectory.</p>
      <p>Let us substitute values  p ,  ak (+ ) and  pout (+ ) into the equation (9) and get
the ratio of square of integral difference trajectory of an aircraft’s flight Δ to its length
L (fig. 2)

L
.</p>
      <p>This figure shows that in the case of the glide path entrance delay, the probability
of hitting the threshold level of runway increases. The probability of the preconditions
for occurrence of aircraft accident increases.</p>
      <p>It is seen from the formula that when the delay  of the start of landing increases,
the correlation function changes.</p>
      <p>From the above it follows that it is possible to determine the trajectory of the
aircraft at the entrance to the glide path according to the above formulas, namely, by the
function of correlation of the inactivity of factorial overlays and on the glide path with
a periodic factorial overlay. The correlation function of the glide path allows you to
determine stationary random functions of the flight trajectory, and therefore to
identify AIAFP.</p>
      <p>In the previous works the methods for glide path capture boundaries determining
by correlation functions were developed. Graphically they were paraboloids. It was
shown that the ratio of square of integral difference trajectory of an aircraft’s flight Δ
to its length L at retardation value χ in considering in different spatial planes is
determined by autocorrelation functions (fig. 3):</p>
      <p>− 3L11 + 2L1122 − 3L1133 x2 ;
  (0.123;2.31)  (3.62;+) the paraboloid flips 180° and has a maximum point. In
real conditions, the ratio  is a small value that tends to zero. Therefore, values in</p>
      <p>L
 
L 1
3
x2</p>
      <p>1
− 31 + 2122 −</p>
      <p>L1 L1
where each of the semi-axes is determined by the expression:
   of the relation χ
the vicinity of zero may be of practical interest. Function  = f 
 L 
from the entry point to the path L has the following form:
 = −  3 + 2  − 3   + 1 .</p>
      <p>  2
 L   L   L  3</p>
      <p>It has an extremum point: minimum point (1; -1); maximum point (3; 1/3). Points
of intersection with the axes: ordinates (0; 1/3); abscissa (0.123; 0), (2.31; 0), (3.62;
0).</p>
      <p>On the basis of the above formulas for three-dimensional space we get the
function:
 =  1 − 31 + 2122 − 13 x2 +  1 − 3 2 + 2L 222 −  23  y2 +  1 − 3 3 + 2L 322 − 3L3333 z2.
L  3 L1 L1 3L13   3 L2 2 3L23   3 L3 3</p>
      <p>This function represents second-degree surface – three-axis ellipsoid. It is
represented in a canonical form and the values of semi axes a, b, c of an ellipsoid are
determined by the following expression:
z2</p>
      <p>1
− 3 3 + 2L 322 −</p>
      <p>L3 3
Thus, the obtained function of a three-axis ellipsoid can be written,</p>
      <p>A characteristic feature of a three-axis ellipsoid is the formation of ellipses when
crossing its surface by planes that are parallel to each of the three coordinate planes
(see Fig. 4).</p>
      <p>If any semi axes are equal to each other, for example, b=с, when χ2=χ3, then a
three-axis ellipsoid turns into an ellipsoid of revolution.</p>
      <p>It is formed by rotating an ellipse around one of the axes of the coordinate system.
For example, if ellipse rotate around the abscissa.</p>
      <p>x2
a2 +</p>
      <p>If χ1=χ2=χ3, then the semi axes of the three-axis ellipse will be equal to: а=b=с.
And this means that it is transformed into a sphere, R2=а2=b2=с2, where R – sphere
radius</p>
      <p>
        The obtained results of our studies coincide with the data given in the work [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. It
examines the issues of runway hit accuracy.
      </p>
      <p>Thus, an aircraft deviation from a given point of glidepath capture in
threedimensional space in the general case is described by a three-axis ellipsoid, and in
particular cases by a rotation ellipsoid and a sphere (Fig. 5).
4 The result of the experimental studies of dependence between
the flight quality and the entry into the glide path accuracy
An analysis of 48 flights on a B-737-500 aircraft revealed that the maximum
amplitudes of the autocorrelation functions spectra of the roll angle on the glide path
significantly differ depending on the length of the glide path (Fig. 6). It can be described
using the formulas for calculating normalized autocorrelation function К (t ) and
unregulated autocorrelation function (t ) :
К (t) =</p>
      <p>1
  N</p>
      <p>N−t−1
  ( i − m)  ( t+i − m);
i=0
(t) =</p>
      <p>1
N - t + 1</p>
      <p>N −t −1
  ( i − m)  ( t +i − m),
i=0
where N is the number of observations in the time series t, γi is the amplitude of the
roll angle, i = 1, 2, 3, N, m – mathematical expectation, σ – standard deviation.</p>
      <p>The range of values of normalized autocorrelation functions during landing at the
airport A presented in the Table 1.</p>
      <p>Thus, during the pilots’ training it is advisable to change the section of the given
path line in the aerodrome zone to the segment of the path before entering the glide
path with the obligatory condition for observing the accuracy of entering it. Firstly, it
will increase the discipline of entering the point of the glide path. Secondly, the exact
entrance to the glide path will help to reduce the psychophysiological tension of pilots
during the approach.
5</p>
    </sec>
    <sec id="sec-3">
      <title>Conclusions</title>
      <p>The probabilistic boundaries of the entrance to the glide path in the form of an
ellipsoid are determined. They can be useful for assessing the piloting technique quality
by the values of its coordinates. It is possible to determine the probability of
inaccurate entry into the glide path.</p>
      <p>The autocorrelation functions of the flight parameters determine the pilot’s
psychophysiological tension on integrated simulator. It is applicable both when flying on
a glide path and entering it. The danger of late entry by plane into the glide path is
proved.</p>
      <p>It is advisable to use these methods for automated assessment of the piloting
techniques quality.
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