ContSys1 L7 Stability

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    Mechanical Engineering Science 8

    Dr. Daniil Yurchenko

    Basic stability analysis

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    Stability assessment

    Lets consider a ball in the equilibrium

    position

    Unstable Marginally

    Stable

    Asymptotically

    Stable

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    Stability assessment

    A system in which the transient part of theresponse decays with time is said to be

    absolutely (asymptotically) stable If the transient part does not decay it is

    said to be absolutely unstable

    This stability manifests itself either as amonotonic increase in the error or as anoscillatory increase in the error.

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    Stability assessment The first order system

    If a>0 then and the solutionwill decay exponentially as(asymptotically stable)

    If a

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    Stability assessment The second order system

    If we have TWO REAL roots,one of which is positive. Thus the systemis unstablesince when

    0 bxxax 0)( 2 Axbass

    2

    42

    2,1

    baas

    stAex

    ba 42

    x t

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    Stability assessment

    If we have TWO REALidentical roots -a/2. Thus the system isstable if a>0 and unstable otherwise

    If then we have TWOCOMPLEX CONJUGATE roots with the

    real part equal to -a/2 and imaginary partequal to

    ba 42

    ba 42

    2/4 2ab

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    Stability assessment

    Thus

    for a>0 we will have a decaying oscillatory

    motion (asymptotically stable)for a

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    Stability assessment

    Re(s)

    Im(s)

    UnstableStable

    Marginally Stable

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    Stability assessment

    Re(s)

    UnstableStable

    Marginally Stable Im(s)

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    Stability assessment

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    Stability assessment

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    Stability assessment

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    Stability assessment

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    Stability assessment

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    Stability assessment

    We are able to solve analytically the firstand second order linear algebraic equations

    (LAE). We can obtain analytical solution to the

    third and sometimes fourth order LAEs.

    What do we do if we have a higher orderequation?

    Can we say something about stability?

    0...... 11

    10

    nn

    nnAsAsAsA

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    Stability assessment

    Luckily we can assess the system stabilitywithout solving the characteristic equation

    for every system we encounter. We do thisthrough an examination of the coefficientsof the characteristic equation.

    The criterion which we apply is known as

    The Routh-Hurwitz Stability criterion

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    Routh-Hurwitz Stability Criterion

    First write the characteristic equation as apolynomial in s

    For this polynomial we construct a matrix

    containing the coefficients in the followingway

    0...... 11

    10

    nnnn AsAsAsA

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    Routh-Hurwitz Stability Criterion

    nn

    n

    AA

    A

    AAA

    AAA

    AAAA

    AAAA

    ...0000

    0...0000

    ....................................

    00...0

    00...0

    00...

    00...

    2

    1

    420

    531

    6420

    7531

    11 AR

    Lets define a set

    of determinants as

    20

    31

    2AA

    AAR

    31

    420

    531

    3

    0 AA

    AAA

    AAA

    R

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    Routh-Hurwitz Stability Criterion

    For a first order system 010 AsA

    01A

    For a system to be absolutely(asymptotically) stable it is requiredthat A0 >0 and a set of determinants

    R1, R2,...Rn-1be positive.

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    Routh-Hurwitz Stability Criterion

    For a second order system

    thus

    For a third order system

    0212

    0 AsAsA

    0,0 21 AA

    011 AR 00

    21

    20

    1

    20

    31

    2 AAAA

    A

    AA

    AAR

    0322

    1

    3

    0 AsAsAsA

    011 AR 03021

    20

    31

    2 AAAAAA

    AA

    R

    0

    0

    0

    0

    0

    330321

    31

    20

    31

    31

    420

    531

    3 AAAAAA

    AA

    AA

    AA

    AA

    AAA

    AAA

    R

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    Routh-Hurwitz Stability Criterion

    Consider

    also since then

    Thus

    CLASS, DERIVE THE STABILITY

    CONDITIONS FOR A 4thORDER SYSTEM

    0,0,0,0 3021321 AAAAAAA

    030212 AAAAR

    0330213303213 AAAAAAAAAAAR

    0,0 10 AA 0,0 32 AA

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    Routh-Hurwitz example

    A system has the characteristic equation:

    Is it stable?

    011072152240 2345 sssss

    8544240107215272240

    10152,152 21 RR

    0542

    3

    3

    2

    4

    1

    5

    0 AsAsAsAsAsA

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    Routh-Hurwitz example Routh Hurwitz arrays

    ?

    101520

    172240

    110152

    3 R

    98816 240*100152*152152*24010*72*152

    152072240

    10152

    101520172240

    110152

    3R

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    Routh-Hurwitz examples

    If a system open-loop transfer function is

    Then the characteristic equation is defined as

    +

    -

    qoqi

    )(

    )()(0

    sQ

    sPsG

    )()()(

    )(

    )(/)()(1

    )(/)(

    )()(1

    )(

    0

    0

    sHsPsQ

    sP

    sQsPsH

    sQsP

    sHsG

    sGT

    0)()(1 0 sHsG 0)(1 0 sG

    0)()( sQsP

    If H=1

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    Routh-Hurwitz examples

    A remote position controller withproportional-plus-derivative (PD) control.

    Find stability criteria.

    +

    -

    qo

    FsJs 21qi

    DsK 1

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    Routh-Hurwitz examples

    Open loop transfer function

    Characteristic equation

    FsJs

    DsKDGO

    2

    1

    011

    112

    2

    2

    FsJs

    DsKFsJs

    FsJs

    DsKDGO

    0)(2 KsKDFJs

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    Routh-Hurwitz examples

    Then for stability of a second order systemwe need all the coefficients to be positive

    Remember we said that introducing

    integral control may influence the systemstability

    0)(,0,0 KDFKJ

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    Routh-Hurwitz examples

    A remote position controller withproportional-plus-integral-plus-derivative

    (PID) control. Find stability criteria.

    +

    -

    qo

    FsJs 21qi

    s

    R

    DsK1

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    Routh-Hurwitz examples

    Open loop transfer function

    Characteristic equation FsJs

    s

    RDsK

    DGO

    2

    1

    0

    11

    11 2

    2

    2

    FsJs

    s

    RDsKFsJs

    FsJs

    s

    RDsK

    DGO

    0)( 23 KRKssKDFJs

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    Routh-Hurwitz examples

    Then

    For stability we need all the coefficients tobe positive and

    Thus we cannot take an arbitrary value of R

    KRAKAKDFAJA 3210 ,),(,

    03021 AAAA

    JRKKKDF )(

    JRKDF )(