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САУ
САР
автоматическое управление
автоматическое регулирования
теория управления
системы автоматического управления
устойчивость
критерии устойчивости
дистанционное обучение
критерий михайлова
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00:00:01
stable automatic
00:00:03
control system stability criteria
00:00:07
line of drawn sars calculation of the roots
00:00:11
of characteristic equations is simple for
00:00:15
equation 1 2 steve not a general expression
00:00:18
for the roots of equations of the third fourth
00:00:20
degree cumbersome and of
00:00:22
little use in general the expression for the
00:00:25
roots of equations of higher degrees
00:00:27
there is no numerical determination of the roots of
00:00:31
equations and does not cause difficulties At
00:00:33
present, however, there are well-
00:00:36
developed methods for assessing stability
00:00:38
and rules for analyzing stability without
00:00:41
calculating roots, and this is very important
00:00:44
at the stage when the system does not yet exist and when it is
00:00:48
just being created, these rules are
00:00:51
called stability criteria,
00:00:53
they allow in some cases not only
00:00:56
to determine whether the system is stable or not, but
00:00:59
also to determine the influence of various
00:01:01
parameters and structural changes on
00:01:03
stability, there are various forms of
00:01:06
stability criteria;
00:01:08
however, all of them are mathematically
00:01:11
equivalent, since the conditions under which the
00:01:13
roots of the characteristic equation
00:01:15
are located on the left side of the complex
00:01:17
plane, the stability criterion
00:01:19
is divided into algebraic and
00:01:22
frequency algebraic criteria; these are
00:01:25
algebraic procedures over the
00:01:28
coefficients of the characteristic
00:01:29
equation to These include the
00:01:31
Routh Hurwitz stability criterion, the
00:01:33
mayor, and the code; other algebraic
00:01:38
criteria for a system described by
00:01:41
equations above the 4th degree make it
00:01:43
possible to determine only the stability of
00:01:45
the system for given numerical values ​​of the
00:01:48
coefficients of the equation,
00:01:50
but it is difficult to answer the question of how
00:01:53
to change the parameters of the system to make
00:01:55
it stable; the frequency
00:01:59
stability criterion was first formulated
00:02:01
and test and modernized by Mikhailov, the
00:02:04
composition of the frequency criteria is
00:02:08
clarity and also the possibility of
00:02:10
using experimental
00:02:12
frequency characteristics.
00:02:15
Mikhailov’s stability
00:02:17
criterion is based on the principle of
00:02:20
the argument is essentially and its
00:02:22
geometric interpretation, consider the
00:02:24
characteristic polynomial of a linear
00:02:26
system of a different order with positive
00:02:28
coefficients, which is a necessary
00:02:30
condition for stability
00:02:32
appearance characteristic and went
00:02:34
to the sight and
00:02:35
and the solvent slide we assume that lambda is
00:02:38
equal to jim mega we get the
00:02:40
characteristic polynomial in the form
00:02:42
in which it is presented on the third line of
00:02:44
the slide where the real part x contains
00:02:48
only an even degree of omega understands
00:02:51
only an odd degree very system is
00:02:55
presented on the fourth line of glory
00:02:59
we will depict d&g amides on the complex
00:03:01
plane at x frame grams of
00:03:08
infinity
00:03:09
x equals plus minus infinity y equals
00:03:12
plus minus infinity the sign
00:03:15
is determined by the exponent
00:03:17
characteristic form of the hodograph MDF and omega
00:03:20
are shown in the figure send the third
00:03:22
drumnom because in this case it goes through 5
00:03:25
quadrants the graph constructed in the year
00:03:28
is called the Mikhailov curve also
00:03:30
characteristic curve to the delegate graph of
00:03:32
the vector d Hajime
00:03:34
formulation of the Mikhailov stability criterion
00:03:36
video stability of a linear
00:03:39
system of etheric order necessary
00:03:41
sufficient for changes in the arguments of the
00:03:43
function d&g omega when the frequency changes
00:03:46
from zero to infinity would be equal to
00:03:50
n.p. in half, that is, since it is
00:03:54
depicted on the slide,
00:03:58
the formulation is simple and
00:04:00
pleasant, but not entirely accurate, so that the
00:04:02
stability conditions are sufficient; it is
00:04:04
only necessary that all n
00:04:07
roots of the characteristic equation
00:04:09
be left-handed, that is, among them there should
00:04:11
be no roots lying on the imaginary axis and
00:04:15
turning into complex polynomial Jane
00:04:18
Omega that is, one more condition must be satisfied
00:04:22
that I am not Gandhi is equal to zero both formulas
00:04:25
are a mathematical expression of the
00:04:27
Mikhailov stability criterion The
00:04:30
figure shows Mikhailov curves of
00:04:32
stable linear systems of various
00:04:35
orders n equals 3 4 5 6
00:04:39
we can say and so for the stability of a
00:04:42
linear system it is necessary and it is enough
00:04:44
for Mikhailov to peck and pass
00:04:46
sequentially to the
00:04:48
quadrant counterclockwise and all the time surround the
00:04:50
origin of coordinates and is also clearly visible in the
00:04:53
figure if changes in the arguments of the
00:04:56
Dr. J Omega function do not meet the
00:05:00
Finn and dome criterion when the
00:05:04
frequency changes from zero to infinity and are not
00:05:07
fulfilled conditions d&g megane is equal to
00:05:10
zero, then the system is unstable; the figure at the
00:05:13
top of the slide shows an example of
00:05:15
Mikhailov curves for its stable
00:05:18
systems; it can be seen that it violates the rule of
00:05:20
sequential park hosting
00:05:21
quadrants; the figure at the bottom of the slide
00:05:24
shows examples of Mikhailov clinics
00:05:26
for systems located on the border of
00:05:28
stability; that in the mole year the graph
00:05:31
passes through the point practically the
00:05:35
Mikhailov curve is constructed according to . with the complex
00:05:37
shape of this curve, in practice this
00:05:39
happens very often,
00:05:40
there is never a guarantee that the entire Mikhailov curve has been constructed,
00:05:43
for example, in the figure
00:05:45
there is a very small part of it and
00:05:47
Mikhailov, which makes this system
00:05:50
unstable, this is a section indicated by
00:05:54
dots, and
00:05:55
when calculating the Mikhailov curve, this
00:05:58
section is easily overlooked by fighters
00:05:59
calculate the system is stable when
00:06:01
using a complex technique, this
00:06:04
option is always available
00:06:06
therefore, in contrast to the one
00:06:09
Mikhailov criterion method discussed above,
00:06:11
more convenient, the main thing is more
00:06:14
accurate method 2, the two Mikhailov criterion method
00:06:17
is to use the
00:06:19
property of displacement of the roots of the
00:06:21
polynomial fixer omega 3 and omega
00:06:24
functions d&g atomic
00:06:26
on The figure on the left shows that going along the
00:06:30
Mikhailov curve, the omega point is equal to zero, the
00:06:33
direction of increasing omega leaves the
00:06:36
x axis, then Alex intersects the y axis again,
00:06:40
and so on, this means that the roots
00:06:42
of the equation x amides are equal to zero y atom the
00:06:46
game black must be explored one
00:06:48
after another in a stable system
00:06:51
apply x from amigo y from omega and
00:06:54
the main location of the roots of omega this
00:06:58
has the form approximately shown in the figure on the
00:07:00
right in this example and is equal to 4
00:07:05
thus the conditions for the stability of
00:07:07
the system is the mobility of the roots of
00:07:11
the equation x the remaining grams y from Egor
00:07:14
consider the example let as in the previous
00:07:17
topic the characteristic polynomial the
00:07:20
systems themselves have the form presented in the first
00:07:22
line s line and then for dna equal x
00:07:28
from omega plus g y equations
00:07:33
are presented in the second line of the slide the
00:07:35
roots of the equation are presented on the slide
00:07:38
only non-negative
00:07:40
frequency values ​​​​are considered and no less than these
00:07:44
roots are put down in advance in order of
00:07:46
increasing frequency values
00:07:48
the value of these roots must alternate,
00:07:51
that is, in this case there must be
00:07:53
omega 0 less they stroked less
00:07:56
indignant the stability condition
00:07:58
obtained from the previous topic remains the
00:08:03
same to less than one from 1 plus 1
00:08:06
divided by t2
00:08:08
for this example the cool X's and Y's
00:08:12
comedy looks like shown in In the figure,
00:08:14
it is believed that Mikhailov’s clitoris is simpler
00:08:17
and more clear for determining the stability of a
00:08:19
system than the Hurwitz criterion for
00:08:23
high-order systems

Description:

Критерий устойчивости Михайлова для исследования устойчивости систем автоматического регулирования. Скринкаст лекции Николая Германовича Грибанова.

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