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Type of response
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Common input changes
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1. Step Input
A sudden change in a process variable can be approximated by
a step change of magnitude,M:
Special Case:IfM= 1, we have a unit step change. We
give it the symbol, S(t).
Example of a step change:A reactor feedstock is suddenly
switched from one supply to another, causing sudden
changes in feed concentration, flow, etc.
The step change occurs at an arbitrary time denoted as t= 0.
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We can approximate a drifting disturbance by a ramp input:
2. Ramp Input
Industrial processes often experience drifting
disturbances, that is, relatively slow changes up or down
for some period of time. The rate of change is approximately constant.
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Examples:
1. Reactor feed is shut off for one hour.
2. The fuel gas supply to a furnace is briefly interrupted.
0
h
URP tw Time, t
3. Rectangular Pulse
It represents a brief, sudden change in a process variable:
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4. Sinusoidal Input
Processes are also subject to periodic, or cyclic, disturbances.
They can be approximated by a sinusoidal disturbance:
sin
0 for 0(5-14)
sin for 0
tU t
A t t
Examples:
1. 24 hour variations in cooling water temperature.
where: A = amplitude, = angular frequency
sin 2 2( )
AU s
s
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Response of first order system
First order differential equation
General first order transfer function
)()(
)(01 tbXtYadt
tdY
a
ctbxtyadt
tdya )()(
)(01
)()()(
tKXtYdt
tdY
)(1
)( sXs
KsY
0
01
/
/
abK
aa
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s
x
s
KsY
1)(
1.Step response
)(1
)( sXs
KsY
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All first order systems forced by a step function will have
a response of this same shape.
Step response for first order system
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To calculate the gain and time constant
from the graph
x
yK
Gain,
Time constant, value of t which the response is
63.2% complete
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2. Ramp response
)(1
)( sXs
KsY
21)(
s
asKsY
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Ramp response for first order system
The normalized output
lags the input by exactly
one time constant
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22)(
ssU
22
2
22
10
22
p
ss
s
1ss1s
K)s(Y
1
K
1
K
1
K
22
p
2
22
p
1
22
2
p
0
3. Sine input
By partial fraction decomposition,
)tsin(1
Ke
1
K)t(y
22
pt
22
p
Where )(tan 1
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First order response to the sine wave
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Response with time delay
X(t)
Y(t)
t=0 t=t0
=Time delay/dead time
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1. Step response
)(1
)(0
sXs
KesY
st
First-order-plus-dead-time (FOPDT)
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Response of second order system
Second order differential equation
General second order transfer function
ctbxtyadt
tdya
dt
tyda )()(
)()(012
2
2
)()()()(
012
2
2 tbXtYadt
tdYa
dt
tYda
)()()(
2)(
2
22 tKXtY
dt
tdY
dt
tYd
)(12
)(22
sXss
KsY
0
20
1
0
1
0
2
22
a
bK
aaa
aa
a
a
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1+)s(+s
K=G(s)
21
2
21
21
1s2sK=G(s)
22
21
21
2=
2nd order ODE model
(overdamped)
Composed of two first order subsystems (G1and G2)
roots:
12
dampedcritically1
dunderdampe10overdamped1
11)(
21
21
ss
KKsY
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1. Step response
)(
12)(
22 sXss
KsY
sx
ss
KsY
12)(
22
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Second Order Step Changea. Overshootfraction of the final steady-state change
by which the first peak exceeds this change
b. time of first maximum-time required for the output
to reach its first maximum value
c. decay ratio-ratio which the amplitude of the sinewave is reduced during one complete cycle
21pt
2
22
2exp
1
c a
a b
os=2
exp1
a
b
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d. period of oscillation, Ptime between twosuccessive peaks of the response.
e. Rise time, trtime taken for the process output to
first reach the new steady state value.
f. Settling timetime it takes for the output to come
within a band of the final steady-state value andremain in this band
2
2
1p
process responses under automatic control
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I deal response:The desired process response is achieved at an instantaneous time.
SP1
PV1
PV2
SP2
Time
Ideal
response
process responses under automatic control.
Terminology
Abdul Aziz Ishak, Universiti Teknologi MARA Malaysia (2009)
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Stable:The process response stabilized at (near) the set point .
SP1
PV1
PV2
SP2
Time
Ideal
response
Terminology
Abdul Aziz Ishak, Universiti Teknologi MARA Malaysia (2009)
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Unstable:The process response could not be stabilized at the set point.
SP1
PV1
PV2
SP2
Time
Ideal
response
Terminology
Abdul Aziz Ishak, Universiti Teknologi MARA Malaysia (2009)
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SP1
SP2
PV
Time01. LCL = Lower control (quality)
limit.
2. UCL = Upper control (quality)
limit.
Out of spec
Out of specLCL
UCL
Quality limits:A range, set values above and below the set point, whereby the process
is allowed to oscillate. Product quality is acceptable within these limits.
Terminology
Abdul Aziz Ishak, Universiti Teknologi MARA Malaysia (2009)
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QAD
Underdamped
Overdamped
Oscillatory
Offset
Various shapes of process responses under automatic
control.
Abdul Aziz Ishak, Universiti Teknologi MARA Malaysia (2009)
Unit 1: Process settling criteria
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Settli ng cri ter ia:A response curve that meet any of the following criteria (criterion)
is considered settle.
1. Res po nse t ime
2. Sett l ing t ime
3. Rise t im e
4. Quar ter Amp lit ude Damp ing (QAD)
5. Quali ty l im its ( BEST for product quality control)
6. No overshoo t o r no undershoo t ( BEST for
temperature and pH control)
7. M in imum IAE, ITSE, etc.
Unit 1: Process settling criteria
Terminologies