Title: LAPLACE TRANSFORMS
1LAPLACE TRANSFORMS
2INTRODUCTION
3The Laplace Transformation
Time Domain
Frequency Domain
Laplace Transform
Differential equations
Algebraic equations
Input excitation e(t) Output response r(t)
Input excitation E(s) Output response R(s)
Inverse Laplace Transform
4THE LAPLACE TRANSFORM
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6THE INVERSE LAPLACE TRANSFORM
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8Functional Laplace Transform Pairs
9Operational Laplace Transform Pairs
10Inverse Laplace Transform
- The inverse Laplace transform is usually more
difficult than a simple table conversion.
11Partial Fraction Expansion
- If we can break the right-hand side of the
equation into a sum of terms and each term is in
a table of Laplace transforms, we can get the
inverse transform of the equation (partial
fraction expansion).
12Repeated Roots
- In general, there will be a term on the
right-hand side for each root of the polynomial
in the denominator of the left-hand side.
Multiple roots for factors such as (s2)n will
have a term for each power of the factor from 1
to n.
13Complex Roots
- Complex roots are common, and they always occur
in conjugate pairs. The two constants in the
numerator of the complex conjugate terms are also
complex conjugates.
where K is the complex conjugate of K.
14Solution of Partial Fraction Expansion
- The solution of each distinct (non-multiple)
root, real or complex uses a two step process. - The first step in evaluating the constant is to
multiply both sides of the equation by the factor
in the denominator of the constant you wish to
find. - The second step is to replace s on both sides of
the equation by the root of the factor by which
you multiplied in step 1
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16The partial fraction expansion is
17- The inverse Laplace transform is found from the
functional table pairs to be
18Repeated Roots
- Any unrepeated roots are found as before.
- The constants of the repeated roots (s-a)m are
found by first breaking the quotient into a
partial fraction expansion with descending powers
from m to 0
19- The constants are found using one of the
following
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21The partial fraction expansion yields
22The inverse Laplace transform derived from the
functional table pairs yields
23A Second Method for Repeated Roots
Equating like terms
24Thus
25Another Method for Repeated Roots
As before, we can solve for K2 in the usual
manner.
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27Unrepeated Complex Roots
- Unrepeated complex roots are solved similar to
the process for unrepeated real roots. That is
you multiply by one of the denominator terms in
the partial fraction and solve for the
appropriate constant. - Once you have found one of the constants, the
other constant is simply the complex conjugate.
28Complex Unrepeated Roots
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30Case 1 Functions with repeated linear roots
- Consider the following example
-
- F(s) should be decomposed for Partial Fraction
Expansion as follows
31 32- so
- and f(t) -6e-t (6 12t)e-2t u(t)
33Case 2 Functions with complex roots
- If a function F(s) has a complex pole (i.e., a
complex root in the denominator), it can be
handled in two ways - 1) By keeping the complex roots in the form of a
quadratic - 2) By finding the complex roots and using
complex numbers to evaluate the coefficients
34- Example Both methods will be illustrated using
the following example. - Note that the quadratic terms has complex roots.
35Method 1 Quadratic factors in F(s)
- F(s) should be decomposed for Partial Fraction
Expansion as follows
36A) Find A, B, and C by hand (for the quadratic
factor method)
- Combining the terms on the right with a common
denominator and then equating numerators yields
37- so
- now manipulating the quadratic term into the form
for decaying cosine and sine terms
38- so
- The two sinusoidal terms may be combined if
desired using the following identity
39 40Method 2 Complex roots in F(s)
- Note that the roots of are
- so
41A) Find A, B, and C by hand (for the complex root
method)
- F(s) should be decomposed for Partial Fraction
Expansion as follows
42- The inverse transform of the two terms with
complex roots will yield a single time-domain
term of the form - Using the Residue Theorem
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44- So,
- This can be broken up into separate sine and
cosine terms using
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