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System Responses

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    System Responses

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    Two parts:

    Steady-state Response Transient response

    System Responses

    u

    bK

    Mx

    Transient response

    Steady State Response

    Input:

    Output:

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    First Order System

    The first order system has only one pole.

    Where K is the D.C gain and T is the time constantof the system.

    Time constant is a measure of how quickly a 1storder system responds to a unit step input.

    D.C Gain of the system is ratio between the inputsignal and the steady state value of output.

    1TsK

    sRsC)()(

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    Introduction

    The first order system given below.

    1310

    s

    sG )(

    5

    3

    ssG )( 151

    53

    s/

    /

    D.C gain is 10 and time constant is 3 seconds.

    And for following system

    D.C Gain of the system is 3/5 and time constant is 1/5

    seconds.

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    Impulse Response of 1st Order System

    Consider the following 1st order system

    1Ts

    K)(sC)(sR

    0t

    (t)

    1

    1 )()( ssR

    1Ts

    KsC )(

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    Impulse Response of 1st Order System

    Re-arrange following equation as

    1 Ts

    KsC )(

    TsTKsC/

    /)(1

    TteT

    Ktc /)(

    In order represent the response of the system in time domain

    we need to compute inverse Laplace transform of the above

    equation.

    atCe

    as

    CL

    1

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    Impulse Response of 1st Order System

    Tt

    eT

    K

    tc

    /)( IfK=3 and T=2s then

    0 2 4 6 8 10

    0

    0.5

    1

    1.5

    Time

    c(t)

    K/T*exp(-t/T)

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    Step Response of 1st Order System

    Consider the following 1st order system

    1Ts

    K)(sC)(sR

    ssUsR 1 )()(

    1

    Tss

    KsC )(

    1 Ts

    KT

    s

    KsC )(

    In order to find out the inverse Laplace of the above equation, we

    need to break it into partial fraction expansion

    Forced Response Natural Response

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    Step Response of 1st Order System

    Taking Inverse Laplace of above equation

    1

    1

    TsT

    sKsC )(

    TtetuKtc /)()(

    Where u(t)=1Tt

    eKtc

    /)( 1

    KeKtc 63201 1 .)(

    When t=T

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    Step Response of 1st Order System

    IfK=10 and T=1.5s thenTteKtc /)( 1

    0 1 2 3 4 5 6 7 8 9 100

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    11

    Time

    c(t)

    K*(1-exp(-t/T))

    Unit Step Input

    Step Response

    1

    10

    Input

    outputstatesteadyKGainCD

    .

    %63

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    Step Response of 1st Order System

    IfK=10 and T=1, 3, 5, 7TteKtc /)( 1

    0 5 10 150

    1

    2

    3

    4

    5

    6

    78

    9

    10

    11

    Time

    c(t)

    K*(1-exp(-t/T))

    T=3s

    T=5s

    T=7s

    T=1s

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    Step Response of 1st order System

    System takes five time constants to reach its

    final value.

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    Step Response of 1st Order System

    IfK=1, 3, 5, 10 and T=1TteKtc /)( 1

    0 5 10 1

    0

    1

    2

    34

    5

    6

    7

    8

    9

    10

    11

    Time

    c(t)

    K*(1-exp(-t/T))

    K=1

    K=3

    K=5

    K=10

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    Relation Between Step and impulse

    response

    The step response of the first order system is

    Differentiating c(t) with respect to t yields

    TtTt KeKeKtc //)( 1

    Tt

    KeKdt

    d

    dt

    tdc /)(

    TteT

    K

    dt

    tdc /)(

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    Ramp Response of 1st Order System

    Consider the following 1st order system

    1Ts

    K)(sC)(sR

    2

    1

    ssR )(

    12 Tss

    KsC )(

    The ramp response is given as

    TtTeTtKtc /)(

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    0 5 10 15

    0

    2

    4

    6

    8

    10

    Time

    c(t)

    Unit Ramp Response

    Unit Ramp

    Ramp Response

    Ramp Response of 1st Order System

    IfK=1 and T=1Tt

    TeTtKtc/

    )(

    error

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    0 5 10 150

    2

    4

    6

    8

    10

    Time

    c(t)

    Unit Ramp Response

    Unit Ramp

    Ramp Response

    Ramp Response of 1st Order System

    IfK=1 and T=3Tt

    TeTtKtc

    /

    )(

    error

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    Parabolic Response of 1st Order System

    Consider the following 1st order system

    1Ts

    K)(sC)(sR

    3

    1

    ssR )(

    13 Tss

    KsC )(

    Do it yourself

    Therefore,

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    1st Order System with a Zero

    Zero of the system lie at -1/and pole at -1/T.

    1

    1

    Ts

    sK

    sR

    sC )(

    )(

    )(

    11

    Tss

    sKsC

    )()(

    Step response of the system would be:

    1Ts

    TK

    s

    KsC

    )()(

    TteTT

    KKtc /)()( Tt

    eKtc

    /

    )(

    1

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    1st Order System with & W/O Zero

    1

    1

    TssK

    sRsC )()()(

    TteT

    T

    KKtc /)()( TteKtc /)( 1

    1TsK

    sRsC)()(

    IfT> the response will be same

    Tt

    enT

    K

    Ktc/

    )()(

    TteT

    KnKtc /)( 1

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    1st Order System with & W/O Zero

    IfT> the response of the system would look like

    0 5 10 156.5

    7

    7.5

    8

    8.5

    9

    9.5

    10

    Time

    c(t)

    Unit Step Response

    13

    2110

    s

    s

    sR

    sC )(

    )(

    )(

    332

    3

    1010

    /)()( tetc

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    1st Order System with & W/O Zero

    IfT

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    1st Order System with a Zero

    0 5 10 15

    6

    7

    8

    9

    10

    11

    12

    13

    14

    Time

    U

    nitStepResp

    onse

    Unit Step Response of 1st Order Systems with Zeros

    T

    T

    t /

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    1st Order System with & W/O Zero

    0 2 4 6 8 100

    2

    4

    6

    8

    10

    12

    14

    Time

    UnitStepResp

    onse

    Unit Step Response of 1st Order Systems with Zeros

    T

    T

    1st Order System Without Zero

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    Second Order Systems Have discussed the affect of location of poles and zeros on the

    transient response of 1st order systems.

    Compared to the simplicity of a first-order system, a second-ordersystem exhibits a wide range of responses that must be analyzedand described.

    Varying a first-order system's parameter (T, K) simply changes thespeed and offset of the response

    Whereas, changes in the parameters of a second-order system can

    change theform ofthe response.

    A second-order system can display characteristics much like a first-order system or, depending on component values, display dampedorpure oscillations for its transient response.

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    Second Order Spring Mass Damper Example

    ODE :

    Transfer function :

    k b

    y(t)

    F(t)=ku(t)

    m

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    General Form

    A general second-order system is characterized

    by the following transfer function.

    22

    2

    2 nn

    n

    sssR

    sC

    )(

    )(

    un-damped natural frequency of the second order system,

    which is the frequency of oscillation of the system withoutdamping.

    n

    damping ratioof the second order system, which is a measure

    of the degree of resistance to change in the system output.

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    Polar vs. Cartesian representations.Cartesian representation :

    Imaginary part (frequency)

    Real part (rate of decay)

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    Polar vs. Cartesian representations.Cartesian representation :

    Imaginary part (frequency)

    Real part (rate of decay)

    Polar representation :

    damping ratio

    natural frequency

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    Polar vs. Cartesian representations.Cartesian representation :

    Imaginary part (frequency)

    Real part (rate of decay)

    Polar representation :

    damping ratio

    natural frequency

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    Polar vs. Cartesian representations.

    Overdamped Critically damped

    Underdamped

    Undamped

    Significance of the damping ratio :

    System transfer function :

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    Polar vs. Cartesian representations.System transfer function :

    Significance of the damping ratio :

    Overdamped Critically damped

    Underdamped

    Undamped

    P l C t i t ti

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    Polar vs. Cartesian representations.

    System transfer function :

    Significance of the damping ratio :

    Overdamped Critically damped

    Underdamped

    Undamped

    All 4 cases Unless overdamped

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    Poles of Second Order System

    Pole Locations22

    21,2

    2 0

    ( 1)

    n n

    n n

    s s

    p

    Over damped

    (two real distinct roots = two 1st

    order systems with real poles)Critically damped

    (a single pole of multiplicity two,

    highly unlikely, requires exact

    matching)

    Underdamped

    (complex conjugate pair of poles,

    oscillatory behavior, most

    common)

    Real

    Im.

    n

    n

    1. If 0 <

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    Pole position vs time response

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    Pole variation vs time response

    TRANSIENT

    CHARACTERISITCS AREAFFECTED BY POLE

    LOCATIONS

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    Definitions of Transient Response Specifications

    1. Delay time, : The delay time is the time required for the

    response to reach half the final value.

    2. Rise time, : The rise time is the time required for the response

    to rise from 10% to 90%, 5% to 95%, or 0% to 100% of its final

    value. For underdamped second-order systems, the 0% to 100%rise time is normally used. For overdamped systems, the 10% to

    90% rise time is commonly used.

    3. Peak time, : The peak time is the time required for the

    response to reach the first peak of the overshoot.

    dt

    rt

    pt

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    Definitions of Transient Response Specifications

    4. Maximum (percent) overshoot, : The maximum overshoot is

    the maximum peak value of the response curve measured from

    unity. If the final steady-state value of the response differs from

    unity, then, it is common to use the maximum percent overshoot.

    It is defined by

    Maximum percent overshoot =

    5. Settling time, : The settling time is the time required for the

    response curve to reach and stay within a range about the final

    value of size specified by absolute percentage of the final value(usually 2% or 5%).

    %100)(

    )()(

    c

    ctc p

    st

    pM

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    The system is assumed to be underdamped.

    Rise time: Referring to Eq. (5-3), we obtain the rise time by letting

    .

    Then, we have

    rdrd

    t

    r

    ttetc rn

    sin

    1cos11)(

    2

    rt

    1)( rtc

    d

    n

    nrdt

    2211

    tan

    d

    d

    drt

    1tan

    1

    Rise Time

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    Peak time: Referring to Eq. (5-3), we may obtain the peak time by

    differentiating with respect to time and letting this derivative equal to

    zero. Since

    Then, we have

    The last equation yields the following equation:

    or

    Since the peak time corresponds to the first peak overshoot, Hence

    te

    ttettedt

    dc

    d

    tn

    dd

    dd

    t

    dd

    t

    n

    n

    nn

    sin

    1

    cos1

    sinsin1

    cos

    2

    22

    0sin1 2

    pd

    tn

    tt

    tedt

    dcpn

    p

    0sin pdt

    Peak Time

    ,3,2,,0 pdt

    dpt

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    Maximum overshoot: The maximum overshoot occurs at the peak timeor . It is possible to obtain

    The maximum percent overshoot is .

    )1/(

    2

    )/(

    2

    sin1

    cos1)(

    e

    etcM dnpp

    %100)1/( 2

    e

    Maximum Overshoot

    dptt /

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    Settling time: For convenience in comparing the responses ofsystems, the settling time is defined to be

    or

    )criterion%2(44

    4n

    s Tt

    )criterion%5(33

    3n

    s Tt

    Pair of envelope curves forhe unit-step response curve

    Settling Time

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    Max Overshoot vs curve


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