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Lecture 13 Fourier Series

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Rose-Hulman Institute of Technology Mechanical Engineering Vibrations Today’s Objectives : Students will be able to: a) Determine the Fourier Coefficients for a periodic signal b) Find the steady-state response for a system forced with general periodic forcing Fourier Series – (Lecture 13)
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Rose-Hulman Institute of TechnologyMechanical Engineering

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Today’s Objectives:

Students will be able to:

a) Determine the Fourier Coefficients for a periodic signal

b) Find the steady-state response for a system forced with general periodic forcing

Fourier Series – (Lecture 13)

Rose-Hulman Institute of TechnologyMechanical Engineering

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Rarely is forcing actually harmonic

Fourier’s Theorem: Any periodic function can be expressed by a constant term plus an infinite series of sins and cosines with increasing frequency

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Let’s look at Fourier Series

Given a periodic function f(t) with a period T and f(t) piecewise continuous then f(t) can be expressed as

f t a a t a t b t b t

a a n t b n tnn

nn

( ) cos( ) cos( ) sin( ) sin( )

cos( ) sin( )

= + + + + + +

= + +=

=

∑ ∑0 1 0 2 0 1 0 2 0

0 01

01

2 2ω ω ω ω

ω ω

L L

where

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Fourier Coefficients

aT

f t dt

aT

f t n t dt

bT

f t n t dt

T

n

T

n

T

00

00

00

1

2

2

=

=

=

( )

( ) cos( )

( ) sin( )

ω

ω

∑∑∞

=

=

++=1

01

00n

nn

n )tnsin(b)tncos(aa)t(f ωω

Where

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Summary of Fourier Series

0i tdtn 0 n 0 n

n n 1f (t) X e c c cos(n t )

∞ ∞ω

=−∞ =

= = + ω + φ∑ ∑

0

Ti t

n0

1X f (t)e dtT

− ω= ∫

0 0

n n

n n

c X

c 2 XX

=

=

φ = ∠

Complex Form

where

and

aT

f t dt

aT

f t n t dt

bT

f t n t dt

T

n

T

n

T

00

00

00

1

2

2

=

=

=

( )

( ) cos( )

( ) sin( )

ω

ω

Summary

Note: These integrals can be over any period

0 2

2

2

3T

T

T

T

T

∫ ∫ ∫−

or or /

/

etc.

Rose-Hulman Institute of TechnologyMechanical Engineering

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You will often see magnitude and phase plots of the spectra

Square wave – 10 terms of Fourier Series

Spectra

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Websites and tools are available

http://www.jhu.edu/~signals/fourier2/index.html

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Odd and Even Functions

Odd: f(x) is odd if f(-x) = -f(x)Examples: sin(x), sin(nωt)

Even: f(x) is even if f(-x) = f(x)Examples: cos(x), cos(nωt)

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Fourier Series of Even and Odd functions …Why do we care?

• Fourier series of even functions– Even functions cannot be expressed in terms of odd functions.

Therefore:

• Fourier series of odd functions– Odd functions have an average value of zero and cannot be

expressed in terms of even functions. Therefore:

• Helps us interpret Maple results

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Example

Periodic 015 0

50 3

⎪⎩

⎪⎨⎧

<<

<<=

t

t)t(fFind the Fourier Series of:

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System response to multiple inputs

Assuming the transfer function is: ( )12

1

2

2

++=

ssk/sH

nm ωζ

ω

f1(t) = 2sin(5t)

f2(t) = 1cos(15t)

f3(t) = 4cos(25t)

xss(t)System with

transfer functionH(s)

We know the steady state response is:

( ) ( )( ) ( )( )ωωω jHtsinjHtxxx ∠+= AmplitudeInput

So, all we need to do is apply superposition!

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System response to multiple inputs (cont.)

( ) ( )( ) ( )( )ωωω jHtsinjHtxxx ∠+= AmplitudeInput

0

0.5

1

1.5

2

2.5

3

0 5 10 15 20 25 30 35

Frequency (rad/s)

Mag

nific

atio

n fa

ctor

= x

ss/(F

0/k)

If we plot the magnitude and phase of this after letting s = jω we get:

-180-160-140-120-100

-80-60-40-20

00 5 10 15 20 25 30 35 40

Frequency (rad/s)

Pha

se o

f H (d

egre

es)

0.532.5

1.11MF

-159425f3(t) = 4cos(25t)

-90115f2(t) = 1cos(15t)

-8.525f1(t) = 2sin(5t)

PhaseInput amp.ωι (rad/s)Term

So xss(t) = 2(1.11)sin(5t-8.5°)+1(2.5)cos(15t-90°)+4(0.53)cos(25t-159°_

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General Periodic Forcing Steady State Response

harmonic n at the evaluated phasefunction transfer =

harmonic n at the evaluated magnitudefunction transfer =

gainfrequency zeroor bias DC atscoefficienFourier

harmonic n

frequency lfundamenta 2 of Period

function periodicknown a

th0

th0

0

th0

0

)jn(TF

)jn(TF

b,an

T

)t(fT)t(f

nn

ω

ω

ω

πω

===

==

==

))jn(Htnsin()jn(Hb))jn(Htncos()jn(TFa)j(Ha)t(yn

nn

nss 001

0001

00 0 ωωωωωω ∠++∠++= ∑∑∞

=

=

∑∑∞

=

=

++=1

01

00n

nn

n )tnsin(b)tncos(aa)t(f ωω

and

where

f(t) yss(t)TF(s)If a known periodic function f(t) is applied to a linear system represented by the transfer function H(s) we use the principle of superposition.

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How many terms do you need to keep?

Often we only have to keep a few because those terms whose frequencies lie outside the bandwidth can be neglected as a result of the filtering property of the system (look at the frequency response plots).

TF j

a bn b

( )

,

ω ω⎯→⎯

⎯→⎯

0

0

as increases (usually)

as n increases (always)0

0.5

1

1.5

2

2.5

3

0 5 10 15 20 25 30 35

Frequency (rad/s)

Mag

nific

atio

n fa

ctor

= x

ss/(F

0/k)

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Maple Example

Periodic 21 010

)(2

⎩⎨⎧

<<<<

=ttt

tfwhere:

Determine the steady state response of the system.

A vibrating system is found to be governed by the differential equation:

)(1002 tfxxx =++ &&&

See Maple worksheet

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What you need to modify in Maple

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Homework

• Start the paper• Input the Maple worksheet

• Bring working Maple worksheet to class on Monday


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