To see the effect of the zero location on time-response, let's see if there
is any qualitative change in time-response y(t) as zero location changes from
far left of the imaginary axis to near it. The behaviour we would look at
first is if there is any zero location for which there is an
overshoot. The time-response at t=0 is zero and as t® ¥
it's one. We say that there is an overshoot if there is a time interval for
which y(t) > 1. Since y(t) = 0 at t=0 and y(t) = 1 as t ® ¥, so if it overshoots there would be a
maximum in time-response and at that point the rate of change of y(t)
will be zero. If such a point exists then we can say that there is an
overshoot otherwise not. The rate of change of y(t) is,
dy
dt
=
p1 p2
z(p2 - p1)
((p2-z) e-p2 t - (p1-z) e-p1 t )
(4)
The derivative [ dy/dt] = 0 when
(p2-z) e-p2 t = (p1-z) e-p1 t
Þ e(p2-p1) t =
p2-z
p1-z
Þ tp =
1
p2-p1
ln
æ è
p2-z
p1-z
ö ø
(5)
(a) z > p2 > p1
This means that
0 <
p2-z
p1-z
< 1
and the from equation (5) it can be seen that tp < 0
meaning that there is no tp > 0 for which a maximum exists. From this we
can conclud that whenever z > p2 > p1, the step-response will be less
than unity for all finite time.
(b) p2 > z > p1
For these conditions (p2 > z > p1) we see that
p2 - z > 0 and p1 - z < 0.
Under these conditions we can see that the rate of change in
equation (4) will always be positive, i.e., the step-response
y(t) is monotonic and it steadily increases from zero to one as time goes
from zero to infinity. Hence no overshoot.
(c) p2 > p1 > z
This (p2 > p1 > z) is the most interesting case. For this case
p2-z
p1-z
> 1
and equation (5) gives a positive value of time at which
the maximum is attained. This implies an overshoot.
Example
Figure 1 shows step-response for the system
in (1) for different zero locations with p2 = 10 and p1 = 1, i.e.,
G(s) =
10
z
s+z
(s+1)(s+10)
.
(6)
Figure 1: Second-order System with a zero
From equation (5), tp = 0.32 s when z=0.5. It can be
seen from Figure 1 that the step-response for this case
does peak at 0.32 s.
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