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Variable-Frequency Response AnalysisNetwork performance as function of frequency.Transfer function
Sinusoidal Frequency AnalysisBode plots to display frequency response data
Filter NetworksNetworks with frequency selective characteristics:low-pass, high-pass, band-pass
VARIABLE-FREQUENCY NETWORKPERFORMANCE
LEARNING GOALS
SINUSOIDAL FREQUENCY ANALYSIS
)(sH
Circuit represented bynetwork function
++
)cos(0
)(0
tBeA tj ( )
++
+
)(cos|)(|)(
0
)(0
jHtjHBejHA tj
)()()(
)()(|)(|)(
jeMjH
jHjHM
===
Notation
stics.characteri phase and magnitudecalledgenerally are offunctionas of Plots ),(),(M
)(log)(
))(log2010
10
PLOTS BODE vs(M
. of function a as function network theanalyzewefrequency theof functionaasnetworkaofbehavior thestudy To
)( jH
HISTORY OF THE DECIBEL
Originated as a measure of relative (radio) power
1
2)2 log10(| PPP dB =1Pover
21
22
21
22)2
22 log10log10(|
II
VVP
RVRIP dB ==== 1Pover
By extension
||log20|||log20|||log20|
10
10
10
GGIIVV
dB
dB
dB
===
Using log scales the frequency characteristics of network functionshave simple asymptotic behavior.The asymptotes can be used as reasonable and efficient approximations
Poles and Zeros and Transfer Functions
Transfer Function: A transfer function is defined as the ratio of the Laplacetransform of the output to the input with all initial conditions equal to zero. Transfer functions are definedonly for linear time invariant systems.
Considerations: Transfer functions can usually be expressed as the ratioof two polynomials in the complex variable, s.
Factorization: A transfer function can be factored into the following form.
)(...))(()(...))(()(
21
21
n
m
pspspszszszsKsG +++
+++=
The roots of the numerator polynomial are called zeros.
The roots of the denominator polynomial are called poles.
wlg
Poles, Zeros and the S-Plane
An Example: You are given the following transfer function. Show thepoles and zeros in the s-plane.
)10)(4()14)(8()( ++
++=ssssssG
S - plane
xxoxo0-4-8-10-14
origin
axis
j axis
wlg
Poles, Zeros and Bode Plots
Characterization: Considering the transfer function of the previous slide. We note that we have 4 differenttypes of terms in the previous general form:These are:
)1/(,)1/(
1,1, ++ zspssKB
Expressing in dB: Given the tranfer function:
)1/)(()1/()( +
+=pjwjwzjwKjwG B
|1/|log20||log20|)1/(|log20log20|(|log20 +++= pjwjwzjwKjwG B
wlg
Poles, Zeros and Bode Plots
Mechanics: We have 4 distinct terms to consider:
20logKB
20log|(jw/z +1)|
-20log|jw|
-20log|(jw/p + 1)|
wlg
Poles, Zeros and Bode Plots
Mechanics: The gain term, 20logKB, is just so manydB and this is a straight line on Bode paper,independent of omega (radian frequency).
The term, - 20log|jw| = - 20logw, when plottedon semi-log paper is a straight line sloping at -20dB/decade. It has a magnitude of 0 at w = 1.
0
20
-20
=1
-20db/dec
wlg
Poles, Zeros and Bode Plots
Mechanics: The term, - 20log|(jw/p + 1), is drawn with the following approximation: If w < p we use theapproximation that 20log|(jw/p + 1 )| = 0 dB,a flat line on the Bode. If w > p we use the approximation of 20log(w/p), which slopes at-20dB/dec starting at w = p. Illustrated below.It is easy to show that the plot has an error of-3dB at w = p and 1 dB at w = p/2 and w = 2p.One can easily make these corrections if it is appropriate.
0
20
-20
-40
= p
-20db/dec
wlg
Poles, Zeros and Bode Plots
0
20
-20
-40
= z
+20db/dec
Mechanics: When we have a term of 20log|(jw/z + 1)| weapproximate it be a straight line of slop 0 dB/decwhen w < z. We approximate it as 20log(w/z)when w > z, which is a straight line on Bode paperwith a slope of + 20dB/dec. Illustrated below.
wlg
Example 1:
Given: 50,000( 10)( )( 1)( 500)
jwG jwjw jw
+= + +First: Always, always, always get the poles and zeros in a form such that
the constants are associated with the jw terms. In the above example we do this by factoring out the 10 in the numerator and the 500 in thedenominator.
50,000 10( /10 1) 100( /10 1)( )500( 1)( / 500 1) ( 1)( / 500 1)
x jw jwG jwjw jw jw jw
+ += =+ + + +Second: When you have neither poles nor zeros at 0, start the Bode
at 20log10K = 20log10100 = 40 dB in this case.
wlg
Example 1: (continued)
Third: Observe the order in which the poles and zeros occur.This is the secret of being able to quickly sketch the Bode.In this example we first have a pole occurring at 1 whichcauses the Bode to break at 1 and slope 20 dB/dec.Next, we see a zero occurs at 10 and this causes aslope of +20 dB/dec which cancels out the 20 dB/dec,resulting in a flat line ( 0 db/dec). Finally, we have apole that occurs at w = 500 which causes the Bodeto slope down at 20 dB/dec.
We are now ready to draw the Bode.
Before we draw the Bode we should observe the rangeover which the transfer function has active poles and zeros.This determines the scale we pick for the w (rad/sec)at the bottom of the Bode.
The dB scale depends on the magnitude of the plot and experience is the best teacher here. wlg
1 1 1 1 1 1
(rad/sec)
dB Mag Phase (deg)
1 1 1 1 1 1
(rad/sec)
dB Mag Phase (deg)
Bode Plot Magnitude for 100(1 + jw/10)/(1 + jw/1)(1 + jw/500)
0
20
40
-20
-60
60
-60
0.1 1 10 100 1000 10000
wlg
Using Matlab For Frequency Response
Instruction: We can use Matlab to run the frequency response forthe previous example. We place the transfer functionin the form:
]500501[]500005000[
)500)(1()10(5000
2 +++=++
+ss
ssss
The Matlab Program
num = [5000 50000];den = [1 501 500];Bode (num,den)
wlg
In the following slide, the resulting magnitude and phase plots (exact)are shown in light color (blue). The approximate plot for the magnitude(Bode) is shown in heavy lines (red). We see the 3 dB errors at thecorner frequencies.
Frequency (rad/sec)
P
h
a
s
e
(
d
e
g
)
;
M
a
g
n
i
t
u
d
e
(
d
B
)
Bode Diagrams
-10
0
10
20
30
40From: U(1)
10-1 100 101 102 103 104-100
-80
-60
-40
-20
0
T
o
:
Y
(
1
)
1 10 100 500
)500/1)(1()10/1(100)(
jwjwjwjwG ++
+=Bode for:
wlg
Phase for Bode Plots
Comment: Generally, the phase for a Bode plot is not as easy to drawor approximate as the magnitude. In this course we will usean analytical method for determining the phase if we want tomake a sketch of the phase.
Illustration: Consider the transfer function of the previous example.We express the angle as follows:
)500/(tan)1/(tan)10/(tan)( 111 wwwjwG =
We are essentially taking the angle of each pole and zero.Each of these are expressed as the tan-1(j part/real part)
Usually, about 10 to 15 calculations are sufficient to determinea good idea of what is happening to the phase.
wlg
Bode PlotsExample 2: Given the transfer function. Plot the Bode magnitude.
2)100/1()10/1(100)(
ssssG +
+=Consider first only the two terms of
jw100
Which, when expressed in dB, are; 20log100 20 logw.This is plotted below.
1
0
20
40
-20
The isa tentative line we use until we encounter the first pole(s) or zero(s)not at the origin.
-20db/dec
wlg
dB
(rad/sec)
1 1 1 1 1 1
(rad/sec)
dB Mag Phase (deg)0
20
40
60
-20
-40
-601 10 100 10000.1
2)100/1()10/1(100)(
ssssG +
+=
(rad/sec)
dB Mag Phase (deg)0
20
40
60
-20
-40
-601 10 100 10000.1
Bode Plots
Example 2: (continued)
-20db/dec
-40 db/dec
2)100/1()10/1(100)(
ssssG +
+=
wlg
The completed plot is shown below.
1 1 1 1 1 1
(rad/sec)
dB Mag
Bode PlotsExample 3:
Given:3
3 2
80(1 )( )( ) (1 / 20)
jwG sjw jw
+= +
10.1 10 100
40
20
0
60
-20 .
20log80 = 38 dB
-60 dB/dec
-40 dB/dec
wlg
1 1 1 1 1 1
(rad/sec)
dB Mag Phase (deg)0
20
40
60
-20
-40
-601 10 100 10000.1
Bode Plots
-40 dB/dec
+ 20 dB/dec
Given:
Sort of a lowpass filter
Example 4:
2
2
10(1 / 2)( )(1 0.025 )(1 / 500)
jwG jwj w jw
= + +
wlg
1 1 1 1 1 1
(rad/sec)
dB Mag Phase (deg)0
20
40
60
-20
-40
-601 10 100 10000.1
Bode Plots
22
22
)1700/1()2/1()100/1()30/1()(
jwjwjwjwjwG ++
++=
-40 dB/dec
+ 40 dB/dec
Given:
Sort of a lowpass filter
Example 5
wlg
Bode Plots
Given: problem 11.15 text
)11.0()()101.0)(1(64
)10()()101.0)(1(640)(
22 +++=+
++=jwjw
jwjwjwjw
jwjwjwH
0.01 0.1 1 10 100 1000
0
20
40
-20
-40
dB mag
.
.
.
.
.
-40dB/dec
-20db/dec
-40dB/dec
-20dB/dec
Example 6
wlg
Bode Plots
Design Problem: Design a G(s) that has the following Bode plot.
dB mag
rad/sec
0
20
40
0.1 1 10 100 100030 900
30 dB
+40 dB/dec -40dB/dec
? ?
Example 7
wlg
Bode PlotsProcedure: The two break frequencies need to be found. Recall:
#dec = log10[w2/w1]
Then we have:
(#dec)( 40dB/dec) = 30 dB
log10[w1/30] = 0.75 w1 = 5.33 rad/sec
Also:
log10[w2/900] (-40dB/dec) = - 30dB
This gives w2 = 5060 rad/sec
wlg
Bode PlotsProcedure:
2 2
2 2
(1 / 5.3) (1 / 5060)( )(1 / 30) (1 / 900)
s sG ss s
+ += + +Clearing: 2 2
2 2
( 5.3) ( 5060)( )( 30) ( 900)s sG ss s+ += + +
Use Matlab and conv:
2 2 71 ( 10.6 28.1) 2 ( 10120 2.56 )N s s N s s xe= + + = + +
N = conv(N1,N2)
N1 = [1 10.6 28.1] N2 = [1 10120 2.56e+7]
1 1.86e+3 2.58e+7 2.73e+8 7.222e+8
s4 s3 s2 s1 s0
wlg
Bode PlotsProcedure: The final G(s) is given by;
Testing: We now want to test the filter. We will check it at = 5.3 rad/secAnd = 164. At = 5.3 the filter has a gain of 6 dB or about 2.At = 164 the filter has a gain of 30 dB or about 31.6.We will check this out using MATLAB and particularly, Simulink.
)29.7022.5189.91860()194.7716.2571.26.10130()(
872234
882834
esesessesesesssG ++++
++++=
wlg
Matlab (Simulink) Model:
wlg
Filter Output at = 5.3 rad/sec
Produced from Matlab Simulinkwlg
Filter Output at = 70 rad/sec
Produced from Matlab Simulinkwlg
Reverse Bode PlotRequired:
From the partial Bode diagram, determine the transfer function(Assume a minimum phase system)
dB
20 db/dec
20 db/dec
-20 db/dec30
1 110 850
68
Not to scale
wlg
Example 8
Reverse Bode Plot
Not to scale
100 dB
w (rad/sec)
50 dB
0.5
-40 dB/dec
-20 dB/dec
40
10 dB
300
-20 dB/dec
-40 dB/dec
Required:From the partial Bode diagram, determine the transfer function
(Assume a minimum phase system)
wlg
Example 9
Appendix
]...)()(21)[1(]...)()(21)[1()()( 2
233310
bbba
N
jjjjjjjKjH +++
+++=
General form of a network function showing basic terms
Frequency independent
Poles/zeros at the origin
First order terms Quadratic terms for complex conjugate poles/zeros
..|)()(21|log20|1|log20
...|)()(21|log20|1|log20
||log20log20
21010
233310110
10010
+++++++++
=
bbba jjj
jjj
jNK
DN
DN
BAAB
loglog)log(
loglog)log(
=+=
|)(|log20|)(| 10 jHjH dB=
212
1
2121
zzzz
zzzz
=+=
...)(1
2tantan
...)(1
2tantan
900)(
211
23
3311
1
+++=
b
bba
NjH
Display each basic termseparately and add theresults to obtain final answer
Lets examine each basic term
Constant Term
Poles/Zeros at the origin
==
90)(
)(log20|)(|)( 10Nj
Njj NdB
NN
linestraight a is thislogisaxis-xthe 10
Simple pole or zero j+1 =+
+=+
1
210
tan)1()(1log20|1|
jj dB
asymptotefrequency low 0|1| + dBj(20dB/dec)asymptotefrequency high 10log20|1| + dBj
frequency)akcorner/bre1whenmeet asymptotestwoThe (=Behavior in the neighborhood of the corner
FrequencyAsymptoteCurvedistance to asymptote Argument
corner 0dB 3dB 3 45
octave above 6dB 7db 1 63.4
octave below 0dB 1dB 1 26.6
1=2=5.0=
+ 0)1( j+ 90)1( j
1
Asymptote for phase
High freq. asymptoteLow freq. Asym.
Simple zero
Simple pole
Quadratic pole or zero ])()(21[ 22 jjt ++= ])()(21[ 2 += j( ) ( )222102 2)(1log20|| +=dBt 212 )(1 2tan = t
1 asymptote freq. high 2102 )(log20|| dBt 1802t
1= )2(log20|| 102 =dBt = 902tCorner/break frequency221 = 2102 12log20|| =dBt
21
221tan = t
22Resonance frequency
Magnitude for quadratic pole Phase for quadratic pole
dB/dec40
These graphs are inverted for a zero
LEARNING EXAMPLE Generate magnitude and phase plots
)102.0)(1()11.0(10)( ++
+=
jjjjGvDraw asymptotes
for each term1,10,50 :nersBreaks/cor
40
20
0
20
dB
90
90
1.0 1 10 100 1000
dB|10
decdB /20
dec/45
decdB /20
dec/45
Draw composites
asymptotes
LEARNING EXAMPLE Generate magnitude and phase plots
)11.0()()1(25)( 2 +
+=
jjjjGv 101,:(corners)Breaks
40
20
0
20
dB
90
270
90
1.0 1 10 100
Draw asymptotes for each
dB28
decdB /40
180
dec/45
45
Form composites
( )21020 0)( KjK
dB
==
Final results . . . And an extra hint on poles at the origin
decdB40
decdB20
decdB40
LEARNING EXTENSION Sketch the magnitude characteristic
)100)(10()2(10)(
4
+++=
jj
jjGformstandardinNOTisfunctiontheBut
10010,2,:breaks
Put in standard form)1100/)(110/(
)12/(20)( +++=
jj
jjG We need to show about 4 decades
40
20
0
20
dB
90
90
1 10 100 1000
dB|25
LEARNING EXTENSION Sketch the magnitude characteristic
2)(102.0(100)(
j
jjG +=origin theat pole Double
50at breakformstandardinisIt
40
20
0
20
dB
90
270
90
1 10 100 1000
Once each term is drawn we form the composites
Put in standard form
)110/)(1()( ++=
jjjjG
LEARNING EXTENSION Sketch the magnitude characteristic
)10)(1(10)( ++=
jjjjG
10 1, :breaksorigin theat zero
formstandardinnot
40
20
0
20
dB
90
270
90
1.0 110
100Once each term is drawn we form the composites
decdB /20decdB /20
LEARNING EXAMPLE A function with complex conjugate poles
[ ]1004)()5.0( 25)( 2 +++= jjj jjGPut in standard form [ ]125/)10/()15.0/( 5.0)( 2 +++= jjj jjG
40
20
0
20
dB
90
90
01.0 1.0 1 10 100270
1= )2(log20|| 102 =dBt
2.01.025/12 =
==
])()(21[2
2 jjt ++=
dB8
Draw composite asymptote
Behavior close to corner of conjugate pole/zerois too dependent on damping ratio.Computer evaluation is better
Evaluation of frequency response using MATLAB
[ ]1004)()5.0( 25)( 2 +++= jjj jjG num=[25,0]; %define numerator polynomial den=conv([1,0.5],[1,4,100]) %use CONV for polynomial multiplicationden =
1.0000 4.5000 102.0000 50.0000 freqs(num,den)
Using default options
Evaluation of frequency response using MATLAB User controlled
>> clear all; close all %clear workspace and close any open figure>> figure(1) %open one figure window (not STRICTLY necessary)>> w=logspace(-1,3,200);%define x-axis, [10^{-1} - 10^3], 200pts total
[ ]1004)()5.0( 25)( 2 +++= jjj jjG
>> G=25*j*w./((j*w+0.5).*((j*w).^2+4*j*w+100)); %compute transfer function>> subplot(211) %divide figure in two. This is top part>> semilogx(w,20*log10(abs(G))); %put magnitude here
>> grid %put a grid and give proper title and labels>> ylabel('|G(j\omega)|(dB)'), title('Bode Plot: Magnitude response')
>> semilogx(w,unwrap(angle(G)*180/pi)) %unwrap avoids jumps from +180 to -180>> grid, ylabel('Angle H(j\omega)(\circ)'), xlabel('\omega (rad/s)')>> title('Bode Plot: Phase Response')
Evaluation of frequency response using MATLAB User controlled Continued
Repeat for phase
No xlabel here to avoid clutter
USE TO ZOOM IN A SPECIFIC REGION OF INTEREST
Compare with default!
LEARNING EXTENSION Sketch the magnitude characteristic
]136/)12/[()1(2.0)( 2 ++
+=
jjjjjG 6/136/12
12/1==
=
])()(21[ 22 jjt ++=
40
20
0
20
dB
90
270
90
1.0 110
100
1= )2(log20|| 102 =dBt
decdB /20
decdB /40
decdB /0
12
dB5.9=
]136/)12/[()1(2.0)( 2 ++
+=
jjjjjG
num=0.2*[1,1]; den=conv([1,0],[1/144,1/36,1]); freqs(num,den)
DETERMINING THE TRANSFER FUNCTION FROM THE BODE PLOT
This is the inverse problem of determining frequency characteristics. We will use only the composite asymptotes plot of the magnitude to postulatea transfer function. The slopes will provide information on the order
A
A. different from 0dB.There is a constant Ko
B
B. Simple pole at 0.11)11.0/( +j
C
C. Simple zero at 0.5
)15.0/( +j
D
D. Simple pole at 3
1)13/( +j
E
E. Simple pole at 20
1)120/( +j)120/)(13/)(11.0/(
)15.0/(10)( ++++=
jjj
jjG
20|
00
0
1020|dBK
dB KK ==
If the slope is -40dB we assume double real pole. Unless we are given more data
LEARNING EXTENSIONDetermine a transfer function from the composite magnitude asymptotes plot
A
A. Pole at the origin. Crosses 0dB line at 5
j5
B
B. Zero at 5
C
C. Pole at 20
D
D. Zero at 50
E
E. Pole at 100
)1100/)(120/()150/)(15/(5)( ++
++= jjj
jjjG
Sinusoidal
(non-inverting op-amp)DESIGN EXAMPLE BASS-BOOST AMPLIFIER DESIRED BODE PLOT
OPEN SWITCH
(6dB)
5002P
f =
Switch closed??
DESIGN EXAMPLE TREBLE BOOSTOriginal player response Desired boost
Proposed boost circuit
Non-inverting amplifier
Design equations
Filters