2Review Laplace

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    Laplace transform: Review

    Use

    Definition of Laplace transform

    Existence

    Laplace transforms of some functions of time

    Exponential

    Impulse Ramp

    Sine, Cosine

    .

    1

    time domain Laplace or sdomain

    DifferentialEquation

    Solution

    AlgebraicEquation

    LaplaceTransform of

    Solution

    L-1

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    Properties of Laplace Transforms

    Translation:

    L f t e F ss( ( )) ( ) =

    Multiplication by exponential:

    L e f t F st( ( )) ( ) = +

    Differentiation:

    Ldf t

    dts F s f(

    ( )) ( ) ( )= 0

    Ld f t

    dts F s s f

    df t

    dt t(

    ( )) ( ) ( )

    ( )2

    22

    00=

    =

    Integration

    L f dF s

    s

    t( ( )

    ( ) =

    0

    2

    t

    f(t)

    f(t-)

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    Laplace transforms (Section 2.3):

    Final value theorem

    Use: Can findf() even if you do not knowf(t).

    lim ( ) lim ( )t sf t sF s = 0

    Conditions:f, df/dtLaplace transformable and

    poles ofsF(s) have negative real parts.

    Initial value theorem:

    lim ( ) lim ( )t sf t sF s + =0

    Conditions:f, df/dtLaplace transformable

    Example: Mass suspended by a spring and a

    damper it hit by a hammer. Find initialdisplacement, velocity and final value ofdisplacement.

    3

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    Inverse Laplace Transform

    Idea for finding inverse Laplace transforms.

    Break downF(s) into components of which youknow the inverse Laplace transforms. Add theinverse Laplace transforms of thesecomponents.

    F sk s z s z s z

    s z s z s zm

    n( )

    ( )( )...( )

    ( )( )...( )=

    + + +

    + + +

    1 2

    1 2

    Cases: a) Distinct real polesb) Complex polesc) Multiple poles

    a) F sa

    s p

    a

    s p

    n

    n

    ( ) ...=+

    + +

    +

    1

    1

    f t L F s a e a ep t

    np tn( ) ( ( )) ...= = + +

    11

    1

    b) Complex poles

    Use: L e t s aat( sin )

    ( )

    =

    + +

    2 2

    L e t s a

    s a

    at( cos )( )

    =

    +

    + +

    2 2

    c) Multiple poles

    4

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    F ss

    s s s s s( )

    ( )( ) ( )=

    +

    + +

    =

    +

    +

    +

    +

    +

    5 2

    1 2

    3

    1

    3

    2

    8

    22 2

    f t e e tet t t( ) = + + 3 3 82 2

    Why not use:

    F ss

    s s

    a

    s

    b

    s( )

    ( )( ) ( )=

    +

    + +

    =

    +

    +

    +

    5 2

    1 2 1 22 2

    Try to find a and b:

    5 2 4 2 12

    s a s s b s+ = + + + +( ) ( )

    3 equations, 2 unknowns. Need to introduceanother fraction so that you have 3 unknowns.

    5

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    Solving differential equations using Laplacetransforms

    Example: mass-spring system

    Importance of ultra simple models in real life

    Problem:Designed aircraft wing for low vibration.

    Large safety margin.

    The boss wants to redesign the wing to reduceweight. Recommends reducing plate thickness

    by 10%. Need to find if vibration level will stillbe acceptable. Need a quick answer.

    6

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    .

    Simplified model 2

    7

    Simplification

    Beam, sameIandA asaverageIandA of wingsection

    F(t)=sint

    F(t)=sint

    m c x(t)

    Actual structure

    Simplifiedmodel 1

    x(t)

    x(t)

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    Findx(t) using simplified model 2

    Check if it still acceptable.

    8

    Equivalentstatic

    stiffness, k

    F(t)=sint

    mass of wing/2

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    Example: vibration of aircraft wing if engine

    detaches from wing.

    000

    0

    0 ==

    =++

    )(x,)(x

    )t(kx)t(xc)t(xm

    kms

    ms)s(X

    +

    =2

    0

    )t

    m

    kcos()t(x 0=

    9

    static equilibrium

    position (no engine)m

    k

    x(t)0

    x(t)

    t

    period= mk

    /2

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    Linearize non linear systems

    Non linear systems very difficult to analyze

    Linearize using Taylor series expansion aboutstatic equilibrium position

    Example:

    0=+ sin

    l

    g

    Nonlinear because of the sin.

    10

    sinl

    g

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    Taylor expansion:

    )(d

    )(df)(f)(f

    .T.O.H)(d

    )(df)(f)(f

    00

    00

    0

    0

    +

    ++=

    =

    =

    11

    linear approximation

    sin