Variable frequency networks - basic engineering circuit analysis Irwin

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    Variable-Frequency Response Analysis

    Network performance as function of frequency.

    Transfer function

    Sinusoidal Frequency AnalysisBode plots to display frequency response data

    Resonant Circuits

    The resonance phenomenon and its characterization

    Filter NetworksNetworks with frequency selective characteristics:

    low-pass, high-pass, band-pass

    VARIABLE-FREQUENCY NETWORK

    PERFORMANCE

    LEARNING GOALS

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    VARIABLE FREQUENCY-RESPONSE ANALYSIS

    In AC steady state analysis the frequency is assumed constant (e.g., 60Hz).

    Here we consider the frequency as a variable and examine how the performance

    varies with the frequency.

    Variation in impedance of basic components

    0RRZRResistor

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    90LLjZL Inductor

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    Capacitor 9011

    CCjZc

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    Frequency dependent behavior of series RLC network

    Cj

    RCjLCj

    CjLjRZeq

    1)(1 2

    C

    LCjRC

    j

    j

    )1( 2

    C

    LCRCZeq

    222 )1()(||

    RC

    LCZeq

    1tan

    21

    sC

    sRCLCssZ

    sj

    eq

    1)(

    2

    notation"intionSimplifica"

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    For all cases seen, and all cases to be studied, the impedance is of the form

    011

    1

    01

    1

    1

    ......)(

    bsbsbsbasasasasZ n

    n

    n

    n

    m

    m

    m

    m

    sCZsLsZRsZ CLR

    1,)(,)(

    Simplified notation for basic components

    Moreover, if the circuit elements (L,R,C, dependent sources) are real then the

    expression for any voltage or current will also be a rational function in s

    LEARNING EXAMPLE

    sL

    sC

    1

    R

    So VsCsLR

    RsV

    /1)(

    SV

    sRCLCs

    sRC

    12

    So VRCjLCj

    RCjV

    js

    1)( 2

    0101)1053.215()1053.21.0()(

    )1053.215(332

    3

    jj

    jVo

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    LEARNING EXAMPLE A possible stereo amplifier

    Desired frequency characteristic

    (flat between 50Hz and 15KHz)

    Postulated amplifier

    Log frequency scale

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    Frequency domain equivalent circuit

    Frequency Analysis of Amplifier

    )()(

    )()(

    sVsV

    sVsV

    i n

    o

    S

    i n

    )(/1

    )( sVsCR

    RsV S

    i ni n

    i ni n

    ]1000[/1

    /1)( i n

    oo

    oo V

    RsC

    sCsV

    ooi ni n

    i ni n

    RsCRsCRsCsG

    11]1000[

    1)(

    000,40

    000,40]1000[100 sss

    000,401001058.79

    100101018.3

    191

    1691

    oo

    i ni n

    RC

    RC

    required

    actual

    000,40000,40]1000[)(000,40||100

    sssGs

    Frequency dependent behavior is

    caused by reactive elements

    )()()(

    sVsVsG

    S

    o

    Voltage Gain

    )50( H z

    )20( kH z

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    NETWORK FUNCTIONS

    INPUT OUTPUT TRANSFER FUNCTION SYMBOL

    Voltage Voltage Voltage Gain Gv(s)

    Current Voltage Transimpedance Z(s)

    Current Current Current Gain Gi(s)

    Voltage Current Transadmittance Y(s)

    When voltages and currents are defined at different terminal pairs we

    define the ratios as Transfer Functions

    If voltage and current are defined at the same terminals we define

    Driving Point Impedance/Admittance

    Some nomenclature

    admittanceTransfer

    tanceTransadmit

    )(

    )()(

    1

    2

    sV

    sIsYT

    gain Voltage)(

    )(

    )(1

    2

    sV

    sV

    sGv

    To compute the transfer functions one must solve

    the circuit. Any valid technique is acceptable

    EXAMPLE

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    LEARNING EXAMPLE

    admittanceTransfer

    tanceTransadmit

    )(

    )()(

    1

    2

    sV

    sIsYT

    gain Voltage

    )(

    )()(

    1

    2

    sV

    sVsGv

    The textbook uses mesh analysis. We will

    use Thevenins theorem

    sLRsC

    sZT H ||1

    )( 11

    11

    RsL

    sLR

    sC

    )()(

    1

    112

    RsLsC

    RsLLCRssZT H

    )()( 11

    sVRsL

    sLsVOC

    )(sVOC

    )(sZTH

    )(2 sV2R

    )(2 sI

    )(

    )()(

    2

    2sZR

    sVsI

    T H

    OC

    )(

    )(

    1

    112

    2

    1

    1

    RsLsC

    RsLLCRsR

    sVRsL

    sL

    121212

    2

    )()()( RCRRLsLCRRs

    LCssYT

    2 2 22

    1 1

    ( ) ( )( ) ( )

    ( ) ( )v T

    V s R I s G s R Y s

    V s V s

    )(

    )(

    1

    1

    RsLsC

    RsLsC

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    POLES AND ZEROS (More nomenclature)

    011

    1

    011

    1

    ...

    ...)(

    bsbsbsb

    asasasasH

    n

    n

    n

    n

    m

    m

    m

    m

    Arbitrary network function

    Using the roots, every (monic) polynomial can be expressed as a

    product of first order terms

    ))...()((

    ))...()(()(

    21

    210

    n

    m

    pspsps

    zszszsKsH

    functionnetworktheofpolesfunctionnetworktheofzeros

    n

    m

    ppp

    zzz

    ,...,,

    ,...,,

    21

    21

    The network function is uniquely determined by its poles and zeros

    and its value at some other value of s (to compute the gain)

    EXAMPLE

    1)0(

    22,22

    ,1

    21

    1

    H

    jpjp

    z

    :poles

    :zeros

    )22)(22()1()( 0

    jsjs

    sKsH84

    120

    ss

    sK

    18

    1)0( 0KH

    84

    18)(

    2

    ss

    ssH

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    LEARNING EXTENSION

    )104(

    000,20,50

    0

    7

    0

    21

    1

    K

    H zpH zp

    z

    :poles

    :zero

    )(

    )()(

    sV

    sVsG

    K

    S

    o

    o

    gainvoltagethefor

    ofvaluetheandlocationszeroandpoletheFind

    ooi ni n

    i ni n

    RsCRsCRsCsG

    11]1000[

    1)(

    000,40

    000,40]1000[100 sss

    For this case the gain was shown to be

    ))...()((

    ))...()(()(

    21

    210

    n

    m

    pspsps

    zszszsKsH

    Zeros = roots of numerator

    Poles = roots of denominator

    Variable

    Frequency

    Response

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    SINUSOIDAL FREQUENCY ANALYSIS

    )(sH

    Circuit represented by

    network function

    )cos(0

    )(0

    tB

    eA tj

    )(cos|)(|

    )(

    0

    )(0

    jHtjHB

    ejHA tj

    )()()(

    )()(

    |)(|)(

    jeMjH

    jH

    jHM

    Notation

    stics.characteriphaseandmagnitudecalledgenerallyareoffunctionasofPlots ),(),(M

    )(log)(

    ))(log2010

    10

    PLOTSBODE vs

    (M

    .offunctionaasfunctionnetworkthe

    analyzewefrequencytheoffunctionaasnetworkaofbehaviorthestudyTo

    )(jH

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    HISTORY OF THE DECIBEL

    Originated as a measure of relative (radio) power

    1

    2)2 log10(|

    P

    PP dB 1Pover

    21

    22

    21

    22

    )2

    22

    log10log10(|I

    I

    V

    VP

    R

    VRIP dB 1Pover

    By extension

    ||log20|

    ||log20|

    ||log20|

    10

    10

    10

    GG

    II

    VV

    dB

    dB

    dB

    Using log scales the frequency characteristics of network functions

    have simple asymptotic behavior.The asymptotes can be used as reasonable and efficient approximations

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    ]...)()(21)[1(

    ]...)()(21)[1()(

    )( 2

    233310

    bbba

    N

    jjj

    jjjjK

    jH

    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

    DND

    N

    BAAB

    loglog)log(

    loglog)log(

    |)(|log20|)(| 10 jHjH dB

    212

    1

    2121

    zzz

    z

    zzzz

    ...)(1

    2tantan

    ...)(1

    2tantan

    900)(

    2

    11

    23

    331

    11

    b

    bba

    NjH

    Display each basic term

    separately and add theresults to obtain final

    answer

    Lets examine each basic term

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    Constant Term

    Poles/Zeros at the origin

    90)(

    )(log20|)(|

    )(

    10

    Nj

    Nj

    j NdB

    NN

    linestraightaisthis

    logisaxis-xthe 10

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    Simple pole or zero j1

    1

    210

    tan)1(

    )(1log20|1|

    j

    j dB

    asymptotefrequencylow0|1| dBj

    (20dB/dec)asymptotefrequencyhigh 10log20|1| dBj

    frequency)akcorner/bre1whenmeetasymptotestwoThe (

    Behavior in the neighborhood of the corner

    Frequenc Asymptot Curve

    distance to

    asymptote Argument

    corner 0dB 3dB 3 45

    octave above 6dB 7db 1 63.4

    octave below 0dB 1dB 1 26.6

    12

    5.0

    0)1( j

    90)1( j

    1

    1

    Asymptote for phase

    High freq. asymptoteLow freq. Asym.

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    Simple zero

    Simple pole

    2 2

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    Quadratic pole or zero ])()(21[ 2

    2 jjt ])()(21[ 2

    j

    222102 2)(1log20|| dBt 21

    2)(1

    2tan

    t

    1 asymptotefrequencylow0|| 2 dBt 02t

    1 asymptotefreq.high2102 )(log20|| dBt 1802

    t

    1 )2(log20|| 102 dBt 902tCorner/break frequency

    221 2102 12log20|| dBt

    2

    12

    21tan

    t

    2

    2

    Magnitude for quadratic pole Phase for quadratic pole

    dB/dec40

    These graphs are inverted for a zero

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    LEARNING EXAMPLE Generate magnitude and phase plots

    )102.0)(1(

    )11.0(10)(

    jj

    jjGvDraw 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

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    asymptotes

    G t it d d h l t

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    LEARNING EXAMPLE Generate magnitude and phase plots

    )11.0()(

    )1(25)(

    2

    jj

    jjGv 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

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    21

    020 0)(

    KjK

    dB

    Final results . . . And an extra hint on poles at the origin

    dec

    dB40

    dec

    dB20

    dec

    dB40

    LEARNING EXTENSION Sk t h th it d h t i ti

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    LEARNING EXTENSION Sketch the magnitude characteristic

    )100)(10(

    )2(10)(

    4

    jj

    jjG

    formstandardinNOTisfunctiontheBut

    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

    26 |dB

    LEARNING EXTENSION Sk t h th it d h t i ti

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    LEARNING EXTENSION Sketch the magnitude characteristic

    2)(

    102.0(100)(

    j

    jjG

    origintheatpoleDouble

    50atbreak

    formstandardinisIt

    40

    20

    0

    20

    dB

    90

    270

    90

    1 10 100 1000

    Once each term is drawn we form the composites

    LEARNING EXTENSION Sketch the magnitude characteristic

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    Put in standard form

    )110/)(1()(

    jj

    jjG

    LEARNING EXTENSION Sketch the magnitude characteristic

    )10)(1(

    10)(

    jj

    jjG

    101,:breaks

    origintheatzero

    formstandardinnot

    40

    20

    0

    20

    dB

    90

    270

    90

    1.0 110

    100Once each term is drawn we form the composites

    decdB/20

    decdB/20

    DETERMINING THE TRANSFER FUNCTION FROM THE BODE PLOT

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    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 postulate

    a 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 0.1

    1

    )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

    Determine a transfer function from the composite

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    LEARNING EXTENSIONDetermine a transfer function from the composite

    magnitude asymptotes plot

    A

    A. Pole at the origin.

    Crosses 0dB line at 5

    j

    5

    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

    RESONANT CIRCUITS

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    RESONANT CIRCUITS

    These are circuits with very special frequency characteristics

    And resonance is a very important physical phenomenon

    L CCL

    110

    whenzeroiscircuiteachofreactanceThe

    The frequency at which the circuit becomes purely resistive is called

    the resonance frequency

    CjLjRjZ

    1)(

    circuitRLCSeries

    LjCjGjY

    1)(

    circuitRLCParallel

    P i f i i

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    Properties of resonant circuits

    At resonance the impedance/admittance is minimal

    Current through the serial circuit/

    voltage across the parallel circuit can

    become very large

    CRR

    LQ

    0

    0 1

    :FactorQuality

    222)

    1(||

    1)(

    CLRZ

    Cj

    LjRjZ

    222 )1

    (||

    1)(

    LCGY

    Cj

    Lj

    GjY

    Given the similarities between series and parallel resonant circuits,

    we will focus on serial circuits

    P ti f t i it

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    Properties of resonant circuits

    CIRCUIT BELOW RESONANCE ABOVE RESONANCE

    SERIES CAPACITIVE INDUCTIVE

    PARALLEL INDUCTIVE CAPACITIVE

    Phasor diagram for series circuit Phasor diagram for parallel circuit

    RV

    C

    IjVC

    Lj

    1GV 1CVj

    L

    Vj

    1

    LEARNING EXAMPLE Determine the resonant frequency the voltage across each

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    LEARNING EXAMPLE Determine the resonant frequency, the voltage across each

    element at resonance and the value of the quality factor

    LC

    10 sec/2000

    )1010)(1025(

    163

    radFH

    I

    A

    Z

    VI S 5

    2

    010

    2ZresonanceAt

    50)1025)(102( 330 L

    )(902505500 VjLIjVL

    902505501

    501

    0

    0

    0

    jICj

    V

    LC

    C

    R

    LQ 0

    25

    2

    50

    ||||

    |||| 0

    SC

    SS

    L

    VQV

    VQR

    VLV

    resonanceAt

    LEARNING EXTENSION Fi d th l f C th t ill l th i it i

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    LEARNING EXTENSION Find the value of C that will place the circuit in resonance

    at 1800rad/sec

    LC

    10 218001.0

    1

    )(1.0

    11800

    C

    CH

    FC 86.3

    Find the Q for the network and the magnitude of the voltage across the

    capacitor

    R

    LQ 0

    60

    3

    1.01800

    Q

    ||||

    |||| 0

    SC

    SS

    L

    VQV

    VQR

    VLV

    resonanceAt

    VVC 600||

    Resonance for the series circuit

    1)( M

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    Resonance for the series circuit

    222)

    1(||

    1)(

    C

    LRZ

    CjLjRjZ

    QR

    CQRL 1

    , 00

    :resonanceAt

    )(1

    )(

    0

    0

    0

    0

    j QR

    QRjQRjRjZ

    )(1

    1

    0

    0

    1

    jQV

    VG Rv

    isgainvoltageThe:Claim

    )(1

    jZ

    R

    CjLjR

    RGv

    vv GGM |)(|,|)(

    2/1

    20

    0

    2 )(1

    )(

    Q

    M

    (tan)( 0

    0

    1

    Q

    QBW

    0

    12

    1

    2

    1 2

    0 QQL O

    sfrequenciepowerHalf

    Z

    RGv

    LEARNING EXAMPLE D t i th t f lit f t d

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    LEARNING EXAMPLE

    2

    mH2

    F5

    Determine the resonant frequency, quality factor and

    bandwidth when R=2 and when R=0.2

    CRR

    LQ

    0

    0 1

    LC

    10

    QBW 0

    sec/10)105)(102(

    1 4630

    rad

    R Q

    2 10

    0.2 100

    R Q BW(rad/sec)

    2 10 1000

    0.2 100 100

    LEARNING EXTENSION A series RLC circuit as the following properties:

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    LEARNING EXTENSION A series RLC circuit as the following properties:

    sec/100sec,/4000,4 0 radBWr adR

    Determine the values of L,C.

    CRR

    L

    Q 0

    0 1

    LC

    1

    0

    QBW

    0

    1. Given resonant frequency and bandwidth determine Q.

    2. Given R, resonant frequency and Q determine L, C.

    40100

    40000 BW

    Q

    HQR

    L 040.04000

    440

    0

    FRQL

    C 6

    620

    20

    1056.11016104

    111

    PROPERTIES OF RESONANT CIRCUITS: VOLTAGE ACROSS CAPACITOR

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    PROPERTIES OF RESONANT CIRCUITS: VOLTAGE ACROSS CAPACITOR

    |||| 0 RVQV

    resonanceAt

    But this is NOT the maximum value for the

    voltage across the capacitor

    CRjL C

    CjLjR

    Cj

    V

    V

    S

    20

    1

    1

    1

    1

    2

    221

    1)(

    Q

    uu

    ug

    2

    0

    0

    ;SV

    Vgu

    22

    22

    2

    1

    )/1)(/(2)2)(1(20

    Q

    u

    u

    QQuuu

    du

    dg

    CRR

    LQ

    0

    0 1

    LC

    10

    2

    2 1)1(2Q

    u

    20

    maxmax

    2

    11

    Qu

    2

    2

    424

    max

    4

    11

    2

    11

    4

    1

    1

    Q

    Q

    QQQ

    g

    2

    0

    4

    11

    ||||

    Q

    VQV S

    LEARNING EXAMPLE 150, RR andwhenDetermine max0

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    LEARNING EXAMPLE

    mH50

    F5

    , max0

    sr adLC

    /2000)105)(105(

    11620

    CRR

    L

    Q 0

    0 1

    LC

    1

    0

    20

    maxmax

    2

    11

    Qu

    RQ

    050.02000 2max 2

    112000Q

    R Q Wmax

    50 2 18711 100 2000

    Evaluated with EXCEL and rounded to zero decimals

    Using MATLAB one can display the frequency response

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    R=50Low Q

    Poor selectivity

    R=1

    High Q

    Good selectivity

    FILTER NETWORKS

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    FILTER NETWORKS

    Networks designed to have frequency selective behavior

    COMMON FILTERS

    Low-pass filterHigh-pass filter

    Band-pass filter

    Band-reject filter

    We focus first on

    PASSIVE filters

    Simple low-pass filter

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    Simple low-pass filter

    RCjCj

    R

    Cj

    V

    VGv

    1

    1

    1

    1

    1

    0

    RCj

    Gv

    ;1

    1

    1

    2

    tan)(

    1

    1||)(

    v

    v

    G

    GM

    2

    11,1max

    MM

    frequencypowerhalf 1

    1BW

    Simple high-pass filter

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    Simple high-pass filter

    CRj

    CRj

    CjR

    R

    V

    VGv

    111

    0

    RCj

    jGv

    ;1

    1

    2

    tan2)(

    1||)(

    v

    v

    G

    GM

    2

    11,1max

    MM

    frequencypowerhalf

    1

    1L O

    Simple band-pass filter

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    p p

    Band-pass

    CLjR

    R

    V

    VGv

    11

    0

    222 1)(

    LCRC

    RCM

    11

    LC

    M 0)()0( MM

    2

    4/)/( 202

    LRLRL O

    LC

    10

    2

    4/)/( 202 LRLR

    H I

    L

    RBW L OH I

    )(2

    1)( H IL O MM

    Simple band reject filter

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    Simple band-reject filter

    0110

    00

    CLj

    LC

    10 VV circuitopenasactscapacitorthe0at

    10 VV circuitopenasactsinductortheat

    filterpass-band

    theinasdeterminedareH IL O ,

    LEARNING EXAMPLE Depending on where the output is taken, this circuit

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    can produce low-pass, high-pass or band-pass or band-

    reject filters

    Band-pass

    Band-reject filter

    CLjR

    Lj

    V

    V

    S

    L

    1 1)(,00 S

    L

    S

    L

    V

    V

    V

    VHigh-pass

    CLjR

    Cj

    V

    V

    S

    C

    1

    1

    0)(,10 S

    C

    S

    C

    V

    V

    V

    VLow-pass

    FCHLR 159,159,10 forplotBode

    ACTIVE FILTERS

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    Passive filters have several limitations

    1. Cannot generate gains greater than one

    2. Loading effect makes them difficult to interconnect

    3. Use of inductance makes them difficult to handle

    Using operational amplifiers one can design all basic filters, and more,

    with only resistors and capacitors

    The linear models developed for operational amplifiers circuits are valid, in a

    more general framework, if one replaces the resistors by impedances

    Ideal Op-Amp

    These currents are

    zero

    Basic Inverting Amplifier

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    Basic Inverting Amplifier

    0V

    VVgainInfinite

    0V

    0 II-impedanceinputInfinite

    1

    1 2

    0OVV

    Z Z

    21

    1

    O

    ZV V

    Z

    Linear circuit equivalent

    0

    I

    1

    2

    Z

    ZG

    1

    11

    Z

    VI

    EX MPLE

    USING INVERTING MPLIFIER

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    LOW P SS FILTER

    Basic Non-inverting amplifier

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    Basic Non-inverting amplifier

    1V

    1V

    0I

    1

    1

    2

    10Z

    V

    Z

    VV

    1

    1

    120 V

    Z

    ZZV

    1

    21Z

    ZG

    01I

    EX MPLE

    USING NON INVERTING CONFIGUR TION

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    EX MPLE SECON ORDER FILTER

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    2( )V s

    22 2 2

    1 1 2 3

    01/

    OI NV VV V V V

    R C s R R

    2

    2 2

    01/

    OVV

    R C s