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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Nonlinear Oscillations Prevention in Unmanned Aerial Vehicle</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Aircraft</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>ITMO University</institution>
          ,
          <addr-line>49 Kronverksky pr., 197101 St-Petersburg</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The paper considers the prevention of nonlinear oscillations of a small unmanned aerial vehicle of a xed wing (UAV) in a closed loop. This phenomenon is a rapidly developing aircraft oscillations accompanied by increasing amplitude in angular velocities and angles. The pilot can overcome the process of small amplitude oscillations by disconnecting from the control loop. However, since the oscillations begin suddenly and develop so quickly that the pilot does not have time to react. Often these events lead to loss of control and stability of the aircraft. In manned aircraft, this phenomenon has been known since the inception of large aviation. In literature it is called the pilot induced oscillations (PIO) or the aircraft pilot coupling (APC). Oscillations prevention is proposed to be implemented by introducing into the control loop a nonlinear corrective device that provides the control system in question with the desired phase stability margin. Simulation results of pitch angle are presented with active pilot control and the maximum possible time delay and amplitude of input signal.</p>
      </abstract>
      <kwd-group>
        <kwd>Nonlinear correction UAV Time delay Phase shift Saturation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Despite its prescription, the issue of PIO still exists and the last accident in
commercial aviation dates from 2014 [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. At the same time, UAVs became the
successors of this problem. In recently years UAVs have become widely used in
various elds of human activity. In this research we consider the UAV called
"Phastball" which can operate both o ine and/or remotely with the
participation of a human operator. It was found from ight experiments that nonlinear
oscillations occur when the UAV control modes switch from manual to control
mode from a ground station [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. After switching, the time delay of the
transmitted input signal increases, and there is also the actuator rate limit, which
Copyright c 2019 for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0)
a ects the stability of the entire ight control system. Typical trigger of PIO
are limit of control surface actuator, high pilot gain and time delay of signals.
Its appear generally under conditions of demanding maneuvering, dramatically
changing ight control modes and weather conditions. Oscillations can be severe
irreversible, leading to loss of control of the aircraft. Thus, the task of oscillation
prevention relates to the eld of ight safety.
      </p>
      <p>
        All existing methods are not suitable for all types of aircraft; any of them
requires intensive modeling and testing. The emergence of PIO is not always
associated with external factors, but in any case, the prevention of PIO is
associated with ensuring the stability of the system. Currently, there are several
approaches for prevention PIO. Inverse dynamics method [
        <xref ref-type="bibr" rid="ref13 ref17">13,17</xref>
        ]. The
disadvantage of this method is the occurrence of errors in the transition to the original
model, which is overcome in adaptive method [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ] including neural network. In
the paper [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] the authors propose to transfer full control to the electronic unit in
dangerous moments of the ight. This method has the disadvantage that no fault
tolerant avionics exist and the control system structure loses its mechanical
reserve. The control allocation PIO method containing optimal control is proposed
in [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. In [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] H1 optimization and anti-windup compensator were designed for
actuator loss in aircraft control system. Also such simplicity of implementation
approaches are known as the phase compensation [
        <xref ref-type="bibr" rid="ref14 ref18 ref3">3, 14, 18</xref>
        ] using pre lters of
various con gurations. All of them are aimed at suppressing a high-frequency
spectrum in the control loop and compensating for the phase lag between the
input and output signal. Thus, in this work, a nonlinear pre lter easy to
implement for preventing PIO in UAV is intended, characterized in that it expands
the capabilities of the control system without loss of control accuracy at any
level of the input signal compared to previously proposed ones.
      </p>
      <p>The rest of the paper is organized as follows. The mathematical description of
the system under study is given in Sec. 2. Representation of suggested nonlinear
corrective device is given in Sec. 3. Simulation and concluding remarks are given
in Sec. 4.
2</p>
      <p>UAV-Pilot Model
Consider UAV-pilot model consisting of 3 components: pilot, nonlinear actuator
and UAV as shown in Fig. 1. # is the pitch reference signal, # is the pitch
output signal.
2.1</p>
    </sec>
    <sec id="sec-2">
      <title>Pilot Model</title>
      <p>
        One of the most important classes of piloting tasks is compensatory tracking
tasks in which the pilot acts on the displayed error between a desired command
input and the comparable vehicle output motion to produce a control action.
The pilot model corresponding to the ight mission is taken in the form [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ]
with the parameters obtained in [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]:
      </p>
      <p>Wp(s) = Kp
∗</p>
      <p>Pilot
model</p>
      <p>Saturation
"
1

#
1</p>
      <p>
        UAV
where Kp is the pilot static gain, which expresses the response to control
error ratio. High level of Kp means that the pilot in active control. TL and TI is
the lead and lag time constants respectively, is e ective time delay, including
transport delays and high frequency neuromuscular lags.
A second-order nonlinear actuator model contained the rate limit component is
described by the equations [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]:
_(t) =
(0;
v;
if (
other;
v_ (t) = satv(w(t));
w(t) = K1( (t)
(t))
      </p>
      <p>K2v(t);
+) [ (v &gt; 0))j(
) [ (v &lt; 0)
where +, { the upper and lower boundary of the steering wheel
deviation, v( ) is the saturation function, v { rate limit, the coe cients K1, K2
set the characteristic frequency !a and the damping coe cient a: !a = pK1,
= K2=2pK1.</p>
      <p>
        We take the characteristic of the rate limit nonlinearity as odd-symmetric
and it is represented as describing function [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ] depending on input amplitude
A only:
      </p>
      <p>
        J (A) =
2B h
b
+
sin(2 ) i
2
;
where B=b { slope of the linear part of the saturation function characteristic,
= arcsin(b=A) is the phase shift between input and actuator signal. As shown
in paper [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], if the magnitude of the phase shift exceeds the phase stability
margin of the system, then the system loses stability. This can lead to both
oscillations of unlimited amplitude and self-oscillations. Also in paper [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], it is
argued that actuator rate limit does not always lead to PIO, from which it can
be concluded that the PIO phenomenon only occurs under certain conditions
and a wide range system parameters.

(2)
(3)
      </p>
    </sec>
    <sec id="sec-3">
      <title>UAV Model</title>
      <p>
        The UAV model is presented in the form of a transfer function from pitch angle
to elevator de ection obtained in [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]:
      </p>
      <p>29:11s2 + 115:5s
Wplant(s) = s4 + 7s3 + 22:6s2</p>
      <p>
        For simulation transfer function (4) was reduced through the same channels
to the third order. Also due to its instability using the method of root-locus
curve [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] the pitch rate feedback was introduced.
      </p>
      <p>The simulation result of noncorrective ight control system with pulse
generator reference signal is shown in Fig. 2.</p>
      <p>Pitch angle, ϑ*, ϑ, deg
ϑ*
ϑ
500
400
300
200
100</p>
      <p>0
−100
−200
−300
−4000
20
40
60
80
100
120
140
160
180</p>
      <p>200
t, s
Based on results from Sec. 2, the most desirable corrective device should be such
that its frequency characteristics have the properties of attenuation gain,
accompanied by an increase in phase advance with increasing frequency. The inclusion
of such a correction device improves the relative stability of the ight control
system, i.e. increased of phase and modulus margin. Consider the corrective
device in the form of a nonlinear lter containing separate amplitude and phase
where y is the vector of state output, x is the vector of state input, WA(s),
Wp(s) are the low-pass lters of amplitude and phase formation, respectively,
are selected in the following form:</p>
      <p>WA(s) =
Wp(s) =
k</p>
      <p>;
T1
T
T2s + 1</p>
      <p>
        T s + 1
T1s + 1
;
where 0 &lt; T1 &lt; T2 are time constants. Coe cient k is chosen less than 1
to attenuate the amplitude. In this study, it became necessary to introduce an
additional low-pass lter WA compared with study [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. It introduce the negative
phase shift, but information about it is not saved using the module capture unit.
The main positive phase shift is introduced by the lter (7):
p(!) = arctan
!T (1 T1=T )
1 + !2T 2T1=T
&gt; 0
      </p>
      <p>
        And the sign function isn't stored information about the amplitude of the
signal passing through the lter (7). Thus, from one branch of the correction
device, we get the value of the desired amplitude, from the other { the desired
phase. A distinctive feature of the correction device is the independence of the
frequency characteristics from the input amplitude, and an increase in phase
margin with increasing frequency. This structure (5) is universal, but there is no
general methodology for choosing its parameters due to the variety of nonlinear
systems. Nyquist plot for (5) is shown at Figs. 3, 4.
channels [
        <xref ref-type="bibr" rid="ref10 ref11">10, 11</xref>
        ]:
y = jx1jsign( );
jx1j = x WA(s);
      </p>
      <p>= x Wp(s);
(5)
(6)
(7)
(8)</p>
      <p>Simulation results are carried out at a xed value of T = 0:01 and several
attitude ratio values of T1=T . The maximum attenuation of the amplitude at
Fig. 3 corresponds to the maximum positive phase shift at 4. To correct the
system of interest, a lter con guration with a phase margin of 100 degrees was
chosen.
4</p>
      <p>The Results of Nonlinear Correction and Conclution
The corrective device described by (5) is embedded into the structure in Fig. 1
between pilot and actuator. The simulation results of corrective ight control
system are shown in Fig. 5.</p>
      <p>45
40
35
30
25
20
15
10
5
0
−50</p>
      <p>Pitch angle, ϑ*, ϑ, deg
ϑ*
ϑ
20
40
60
80
100
120
140
160
180</p>
      <p>200
t, s</p>
      <p>Fig. 5. Time history of pitch angle</p>
      <p>The parameters of the corrected system are selected as follows: Kp = 8,
= 1:5 s and = 40 deg. These are extremely valid parameters for the such
kind of system. Thus the introduction of the nonlinear corrective device system
allows to increase the amplitude of the input signal and to introduce the time
delay, together with empowering pilot. Last-mentioned is an important property
when ful lling demanding ight conditions and maneuverability of UAV.</p>
      <p>In conclusion, in this work, the UAV ight control system with the
participation of a human operator was investigated. To prevent the nonlinear oscillations
the nonlinear corrective device with set parameters was introduced, which
allows to form independently of the amplitude of the input signal and separately
desired phase and amplitude frequency characteristics of the system. Allowable
numerical boundaries of the parameters of the adjusted system were established.
An additional low-pass lter has been introduced to attenuate the amplitude of
the control signal. Thus, the introduction of non-linear correction increases the
maneuverability of the drone in conditions of vigorous control and actuator rate
limit.</p>
    </sec>
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