u4, introduction passive filters.pdf
TRANSCRIPT
Circuit Analisys 2
Introduction
• Definition of a filter: A device (i.e. quadripole) that selects a interval of frequencies from an input signal, whose amplitudes and phase can be modified.
• Analogical filters (signal is no discrete)– Passive: made only with R,L and C
– Active: have also operational amplifiers, transistors,…
• Digital filters (signal is discrete)
Circuit Analisys 3
Introduction
X(s) Y(s)Q
t (s)
Input signal (X(s))
Low-pass filter
High-pass filter
Band-pass filter
Band-stop filter
Output
signal (Y(s))
Classification according to the selected range of frequencies
Circuit Analisys 4
Transfer Function H(ss)
• Definition (Laplace Transform domain (L))
[ ][ ]
,signalinput
signaloutput
)(
)()(
L
L==
sX
sYsH
I1(s) I2(s)
V2(s)V1(s) Filter
)(
)()(,
)(
)()(
)()(,
)(
)()(
2
1
1
2
1
2
1
2
sV
sIsY
sI
sIsG
I
sVsZ
sV
sVsG
TI
TV
==
==
X(s) Y(s)H(s)
with initial conditions equal zero (vC(0)=iL(0)=0).
H(s) is independent of the applied signal.
Note that H(s)=Y(s) when x(t)= δ(t), (h(t)=L-1[H] is the impulse response).
• For example
Circuit Analisys 6
Poles and zeros of H(ss)
• H(s) can be written as a fraction of two polynomials with real-valued and positive coefficients:
( )( )∏
∏−
−=
+++
+++=
−−
−−
N n
M m
N
N
N
M
M
M
ps
csK
bsbs
asasKsH
1
1
1
1
1
1
...
...)(
where cm and pm are the zeros and the poles of the transfer function:
∞→
→
→
→
)(lim
0)(lim
sH
sH
m
m
ps
cs
zeros and the poles can also be at s →∞
Circuit Analisys 7
Pole-zero plot
• The poles and zeros are usually represented in a complex plane called the pole-zero plot to help to
convey certain properties of the circuit
• The poles and ceros are either real or complex
conjugated
• Poles are represented with “x”
• Zeros are represented with “o”
Circuit Analisys 8
Frequency response of the
Transfer Function H(ω)
• Frequency response using sinusoidal signals,
then s=jω :( )( )
( ))(jexp)(j
j)( ωφω
ω
ωω H
p
cKH
N n
M m=
−
−=
∏∏
• H(ω) becomes high for ω close to pn
• H(ω) becomes low for ω close to cm
,)](Re[
)](Im[arctan)(
,j
j)(
ω
ωωφ
ω
ωω
H
H
p
cKH
N n
M m
=
−
−=
∏∏
where
is the amplitude response,
is the phase response.
Circuit Analisys 9
Pole-zero plot and |H(ω)|
• Example 3
( )( ),)(
21
1
psps
cssH
−−
−= Poles at s = p1, p2
Zero at s = c1
Poles at s =−1±j5
Zero at s = −5
Poles at s =−1±j10
Zero at s = −5
Poles at s =−5±j10
Zero at s = −5
The closer
the pole to
the imaginary
axis, the
more
pronounced
is the
maximum
Circuit Analisys 10
Pole-zero plot and |H(ω)|
• Example 1
,10
10)(
1
1
+=
+=
sssH
RC
RC
Pole at s= -10
Zero at s→∞
−
+=
+=
10exp
100
10
10
10)(
2
ω
ωωω j
jH
Data: R=1 kΩ, C=100 µF
Circuit Analisys 11
Pole-zero plot and |H(ω)|
• Example 2
( )( )( )
,2j12j1
1)(
122
2
++−+
+=
++
+=
ss
ss
ss
sssH
LCLR
LR
Poles at s = −1±j2Zeros at s = 0,-1
( ) 222
2
2
2
45
1)(,
j25
j)(
ωω
ωωω
ωω
ωωω
+−
+=
+−
+−= HH
Data: R=1 Ω, C=1/5 F, L=1 H
Circuit Analisys 13
Examples of RLC passive filters
• Low-pass filter
– 1st order
– 2nd order
• High-pass filter
– 1rt order
– 2nd order
• Band-pass filter
• Band-stop filter
Circuit Analisys 18
Ideal amplitude response
Low-pass filter
High-pass filter
Band-pass filter
Band-stop filter
PB: Pass band, AB: Attenuation band, ωC: Cut frequency
Circuit Analisys 19
Impulse response of ideal filters
• Ideal filters can not be implemented in practice
• The real filer have to be approached to the ideal filter response using different methods
• The approached filters have not a constant response in the PB and are not entirely zero in the AB
• There exist a transition band between PB and AB
• The order of the filter coincides with the number of poles of H(s)
• The higher the order of the filter the close is his behavior as an ideal filter
• To design filters, layout templates with the tolerance margins are used
Circuit Analisys 22
1st order Low-pass filter
• Transfer functionc
c
sksH
ω
ω
+=)(
where ωωωωc is the cut frequency, at this frequency the attenuation of the signal is 3dB:
2
1
)(
)(3
)(
)(log20
maxmax
10 =⇒=−==
ω
ω
ω
ωωωωω
H
H
H
Hcc
22)(
c
ckHωω
ωω
+=
Circuit Analisys 23
Examples 1st order Low-pass filter
• Low-pass RC: • Low-pass RL
L
R
H
c
LR
LR
=
+=
ω
ωω ,
j)(
RC
H
c
RC
RC
1
,j
)(1
1
=
+=
ω
ωω
Circuit Analisys 24
1st order High-pass filter
• Transfer functioncs
sksH
ω+=)(
2
1
)(
)(3
)(
)(log20
maxmax
10 =⇒=−==
ω
ω
ω
ωωωωω
H
H
H
Hcc
22)(
c
kHωω
ωω
+=
where ωωωωc is the cut frequency, at this frequency the attenuation of the signal is 3dB:
Circuit Analisys 25
Examples 1st order High-pass filter
• High-pass RC: • High-pass RL
L
R
jH
c
LR
=
+=
ω
ω
ωω ,
j)(
RC
H
c
RC
1
,j
j)(
1
=
+=
ω
ω
ωω
Circuit Analisys 26
2st order passive filters
• Transfer function:
• N2(s): Polynomial of order ≤ 2
• ξ: Damping coefficient
• ω0: Characteristic frequency of the filter
• Q=1/(2ξ): Quality factor of the circuit
• B= ω0 /Q: Band width of the circuit
2
0
2
2
2
00
2
2
21
2
2
0
)(
2
)()()(
ωωξω ω ++=
++=
++=
ss
sNk
ss
sNk
asas
sNksH
Q
Circuit Analisys 27
2nd order passive filters
• With 2nd order filter the four type of filters can be obtained (with 1st order only two)
• The poles of H(s) are:
• Depending on the value of ξ (or Q) we distinguish the following two poles:– Real and different (ξ>1 or Q<1/2)– Real and equal (ξ=1 or Q=1/2)– Complex conjugated (ξ<1 or Q>1/2)
• Depending on N2(s) we have the following special cases:
( ) ( )14j12
1j 202
02,1 −±−=−±−= QQ
sp
ωξξω
Circuit Analisys 28
2nd order filters
• Low-pass filter
• High-pass filter
• Band-pass filter
• Band-stop filter
Circuit Analisys 31
2nd order Band-pass filter
B=ωωωω0/Q
2
k
2
0
22
0
2 0
0
)(ωωω
ω
++=
++=
Bss
Bsk
ss
sksH
Q
QExample: