lecture 3: bode plots prof. niknejadee105/fa03/handouts/lectures/lecture3.pdfbode plot overview z...
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Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
2
Lect
ure
3: B
ode
Plot
s
Prof
. Nik
neja
d
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Get
to k
now
you
r log
s!dB
ratio
dBra
tio-2
00.
100
2010
.000
-10
0.31
610
3.16
2-5
0.56
25
1.77
8-3
0.70
83
1.41
3-2
0.79
42
1.25
9-1
0.89
11
1.12
2En
gine
ers a
re v
ery
cons
erva
tive.
A “
mar
gin”
of
3dB
is a
fact
or o
f 2 (p
ower
)!K
now
ing
a fe
w lo
gs b
y m
emor
y ca
n he
lp y
ou
calc
ulat
e lo
gs o
f diff
eren
t rat
ios b
y em
ploy
ing
prop
ertie
s of l
og.
For i
nsta
nce,
kno
win
g th
at th
e ra
tio o
f 2 is
3 d
B, w
hat’s
the
ratio
of 4
?
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Bod
e Pl
ot O
verv
iew
Tech
niqu
e fo
r est
imat
ing
a co
mpl
icat
ed tr
ansf
er
func
tion
(sev
eral
pol
es a
nd z
eros
) qui
ckly
Bre
ak fr
eque
ncie
s :
)1(
)1)(
1()
1()
1)(1(
)(
)(
22
21
0pm
pp
znz
zK
jj
jj
jj
jG
Hωτ
ωτ
ωτ
ωτ
ωτ
ωτ
ωω
++
++
++
=
ii
τω
1=
Dep
artm
ent o
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rsity
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kele
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EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Sum
mar
y of
Indi
vidu
al F
acto
rs
Sim
ple
Pole
:
Sim
ple
Zero
:
DC
Zer
o:
DC
Pol
e:ωτ
j+1
1 ωτ
j+1 ωτ
j ωτ
j1
τω
1=
dB0 dB0 dB0dB0
90−
90+
90−
90+
τω
1=
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Exam
ple
Con
side
r the
follo
win
g tra
nsfe
r fun
ctio
n
Bre
ak fr
eque
ncie
s: in
vert
time
cons
tant
sps
100ns
10ns
100
321
===
τττ)
1)(1(
)1(
10)
(3
1
25
ωτ
ωτ
ωτ
ωω
jj
jj
jH
++
+=
−
Gra
d/s
10M
rad/
s10
0M
rad/
s10
32
1=
==
ωω
ω
)1)(
1(
)1(
10)
(
31
25
ωωωω
ωωω
ωj
j
jj
jH
++
+=
Dep
artm
ent o
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SU
nive
rsity
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alifo
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kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Bre
akin
g D
own
the
Mag
nitu
de
Rec
all l
og o
f pro
duct
s is s
um o
f log
s
Let’s
plo
t eac
h fa
ctor
sepa
rate
ly a
nd a
dd th
em
grap
hica
lly
)1)(
1(
)1(
10lo
g20
)(
31
25
dB
ωωωω
ωωω
ωj
j
jj
jH
++
+=
31
25
1lo
g20
1lo
g20
1lo
g20
10lo
g20
ωωωω
ωωω
jj
jj
+−
+−
++
=
Dep
artm
ent o
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SU
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rsity
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alifo
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EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Bre
akin
g D
own
the
Phas
e
Sinc
e
Let’s
plo
t eac
h fa
ctor
sepa
rate
ly a
nd a
dd th
em
grap
hica
lly
ba
ba
∠+
∠=
⋅∠
)1)(
1()
1(10
)(
31
25
ωτ
ωτ
ωτ
ωω
jj
jj
jH
++
+∠
=∠
−
31
25 1
1
110
)(
ωωωω
ωωω
ω
jj
jj
jH
+∠
−+
∠−
+∠
+∠
=∠
Dep
artm
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alifo
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EE
CS
105
Fall
2003
, Lec
ture
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rof.
A. N
ikne
jad
Mag
nitu
de B
ode
Plot
: DC
Zer
o80 2060 40 -2
0
-60
-80
-40
104
105
106
107
108
109
1010
1011
ω
510ωj
0 dB
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Phas
e B
ode
Plot
: DC
Zer
o
180
45135
90 -45
-135
-180
-90
104
105
106
107
108
109
1010
1011
ω
510ωj
∠
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Mag
nitu
de B
ode
Plot
: Add
Firs
t Pol
e
80 2060 40 -20
-60
-80
-40
104
105
106
107
108
109
1010
1011
ω
dB5
10ωj
dB7
101
1ω
j+
Mra
d/s
101=
ω
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Phas
e B
ode
Plot
: Add
Firs
t Pol
e
180
45135
90 -45
-135
-180
-90
104
105
106
107
108
109
1010
1011
ω
510ωj
∠
710
1
1ω
j+
∠
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Mag
nitu
de B
ode
Plot
: Add
2nd
Zero
80 2060 40 -20
-60
-80
-40
104
105
106
107
108
109
1010
1011
ωdB8
101
ωj
+M
rad/
s10
02=
ω
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Phas
e B
ode
Plot
: Add
2nd
Zero
180
45135
90 -45
-135
-180
-90
104
105
106
107
108
109
1010
1011
ω
810
1ω
j+
∠
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Mag
nitu
de B
ode
Plot
: Add
2nd
Pole
80 2060 40 -20
-60
-80
-40
104
105
106
107
108
109
1010
1011
ω
dB10
101
1ω
j+
Gra
d/s
103=
ω
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Phas
e B
ode
Plot
: Add
2nd
Pole
180
45135
90 -45
-135
-180
-90
104
105
106
107
108
109
1010
1011
ω
1010
1ω
j+
∠−
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Com
paris
on to
“A
ctua
l”M
agPl
ot
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Com
paris
on to
“A
ctua
l”Ph
ase
Plot
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Why
do
I say
“ac
tual
”?
I plo
tted
the
trans
fer c
hara
cter
istic
s with
M
athe
mat
ica
The
rang
e of
freq
uenc
y fo
r the
plo
t is 6
ord
ers o
f m
agni
tude
. Th
e pr
ogra
m h
as to
find
the
“hot
sp
ots”
in o
rder
to p
lot t
he fu
nctio
n. N
ear t
he h
ot
spot
s, m
ore
poin
ts a
re p
lotte
d. I
n be
twee
n ho
t sp
ots,
the
func
tion
is in
terp
olat
ed.
If y
ou p
ick
the
wro
ng p
oint
s, yo
u’ll
end
up w
ith th
e w
rong
plo
t:mag
= LogLinearPlot[20*Log[10, Abs[H[x]]], {x, 10^4,
10^11},PlotPoints -> 10000, Frame -> True,PlotStyle
->
Thickness[.005], ImageSize
-> 600,GridLines -> Automatic,
PlotRange
-> {{10^4, 10^11}, {-20, 100}} ]
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Don
’t al
way
s be
lieve
a c
ompu
ter!
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Seco
nd O
rder
Tra
nsfe
r Fun
ctio
n
The
serie
s res
onan
t circ
uit i
s one
of t
he m
ost
impo
rtant
ele
men
tary
circ
uits
:
The
phys
ics d
escr
ibes
not
onl
y ph
ysic
al L
CR
ci
rcui
ts, b
ut a
lso
appr
oxim
ates
mec
hani
cal
reso
nanc
e (m
ass-
sprin
g, p
endu
lum
, mol
ecul
ar
reso
nanc
e, m
icro
wav
e ca
vitie
s, tra
nsm
issi
on li
nes,
build
ings
, brid
ges,
…)
Dep
artm
ent o
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nive
rsity
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alifo
rnia
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kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Serie
s LC
R A
naly
sis
With
pha
sora
naly
sis,
this
circ
uit i
s rea
dily
an
alyz
ed
RIC
jI
LjI
V s+
+=
ωω
1
RR
Cj
Lj
VRI
V
RC
jL
jI
V
s
s
++
==
++
=
ωω
ωω
1
1
0
+ V o −
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Seco
nd O
rder
Tra
nsfe
r Fun
ctio
nSo
we
have
:
To fi
nd th
e po
les/
zero
s, le
t’s p
ut th
e H
in c
anon
ical
fo
rm:
One
zer
o at
DC
freq
uenc
y ca
n’t c
ondu
ct D
C d
ue
to c
apac
itor
RC
jL
j
RVV
jH
s+
+=
=
ωω
ω1
)(
0+ V o −
RCj
LCCR
jVV
jH
sω
ωω
ω+
−=
=2
0
1)
(
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Pole
s of
2nd
Ord
er T
rans
fer F
unct
ion
Den
omin
ator
is a
qua
drat
ic p
olyn
omia
l:
LRj
jLC
LRj
RCj
LCCR
jVV
jH
sω
ωω
ωω
ωω
++
=+
−=
=2
20
)(
11
)(
LRj
jLR
jj
Hω
ωω
ωω
++
=2
2 0)
()
(LC1
2 0≡
ω
Qj
j
Qj
jH
02
2 0
0
)(
)(
ωω
ωω
ωω
ω+
+=
RLQ
0ω
≡
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Find
ing
the
pole
s…
Let’s
fact
or th
e de
nom
inat
or:
Pole
s are
com
plex
con
juga
te fr
eque
ncie
sTh
e Q
para
met
er is
cal
led
the
“qua
lity-
fact
or”
or Q
-fac
tor
This
par
amet
ers i
s an
impo
rtant
para
met
er:
Re
Im
0)
(2 0
02
=+
+ω
ωω
ωQ
jj
22
−±
−=
−±
−=
Qj
Q41
12
42
00
2 0
2 00
ωω
ωω
ωω
∞→
→
0R
Q
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Res
onan
ce w
ithou
t Los
s
The
trans
fer f
unct
ion
can
para
met
eriz
ed in
term
s of
loss
. Fi
rst,
take
the
loss
less
cas
e, R=
0:
Whe
n th
e ci
rcui
t is l
ossl
ess,
the
pole
s are
at real
freq
uenc
ies,
so th
e tra
nsfe
r fun
ctio
n bl
ows u
p!A
t thi
s resonance
freq
uenc
y, th
e ci
rcui
t has
zer
o im
agin
ary
impe
danc
eEv
en if
we
set t
he so
urce
equ
al to
zer
o, th
e ci
rcui
t ca
n ha
ve a
stea
dy-s
tate
resp
onse
Re
Im
02 0
2 00
42
ωω
ωω
ωj
Q
±=
−±
−=
∞→
2
Dep
artm
ent o
f EEC
SU
nive
rsity
of C
alifo
rnia
, Ber
kele
y
EE
CS
105
Fall
2003
, Lec
ture
3P
rof.
A. N
ikne
jad
Mag
nitu
de R
espo
nse
The
resp
onse
pea
kine
ssde
pend
s on Q
QjQ
j
LRjLR
jj
H0
22 0
0
002
2 0
00
)(
ωω
ωω
ωω
ωωω
ωω
ωωω
ω+
−=
+−
=
1=
Q
10=
Q
100
=Q
0ω
1)
(0
02 0
2 0
2 0
0=
+−
=
Qj
Qj
jH
ωω
ωω
ω
ω
1)
(0=
ωjH
0)0(=
H