An Application of Fourier Series PDF 23_7_applicatn_fourier

n (where the sum is over odd n only) Step 2(a): Since each term in the Fourier series is a sine term

Cité 34 fois — mathematics but even an advanced researcher can find here very useful information ter 13) Many applications of the trigonometric Fourier series to the one-dimensional heat, wave

On Application of Fourier Series - Research India Publications

The Fourier series are used in the study of periodical movements, acoustics, electrodynamics, optics,

Introduction to the Theory of Fouriers Series - JSTOR

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Fourier Series - School of Mathematics and Natural Sciences

Cité 12 fois — and applications that continue to develop right up to the present While the original theory of Fourier series

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rier Transform and its Applications Finally, I have to mention that in the purely mathematical

An Application of Fourier Series

n (where the sum is over odd n only) Step 2(a): Since each term in the Fourier series is a sine term

pdf AN INTRODUCTION TO FOURIER SERIES AND THEIR APPLICATIONS

AN INTRODUCTION TO FOURIER SERIES AND THEIR APPLICATIONS MAHNAV PETERSEN Abstract In this expository paper we introduce the concept of Fourier se- ries and discuss some of their many applications to mathematics

An Application of

Fourier Series

??23.7

Introduction

In this Section we look at a typical application of Fourier series. The problem we study is that of a

differential equation with a periodic (but non-sinusoidal) forcing function. The differential equation

chosen models a lightly damped vibrating system. ??Prerequisites Before starting this Section you should...•know how to obtain a Fourier series •be competent to use complex numbers •be familiar with the relation between the exponential function and the trigonometric functions????Learning Outcomes On completion you should be able to...•solve a linear differential equation with a periodic forcing function using Fourier series68HELM (2008):

Workbook 23: Fourier Series

®1. Modelling vibration by differential equation Vibration problems are often modelled by ordinary differential equations with constant coefficients. For example the motion of a spring with stiffnesskand damping constantcis modelled by m d2ydt

2+cdydt

+ky= 0(1) wherey(t)is the displacement of a massmconnected to the spring. It is well-known that ifc2<4mk, usually referred to as the lightly damped case, then y(t) =e-αt(Acosωt+Bsinωt)(2) i.e. the motion is sinusoidal but damped by the negative exponential term. In (2) we have used the notation α=c2mω=12m⎷4km-c2to simplify the equation.

The values ofAandBdepend upon initial conditions.

The system represented by (1), whose solution is (2), is referred to as anunforced damped har- monic oscillator. A lightly damped oscillator driven by a time-dependent forcing functionF(t)is modelled by the differential equation m d2ydt

2+cdydt

+ky=F(t)(3)

The solution orsystem responsein (3) has two parts:(a)Atransientsolution of the form (2),(b)Aforcedorsteady statesolution whose form, of course, depends onF(t).

IfF(t)is sinusoidal such that

F(t) =Asin(Ωt+φ)whereΩandφare constants,

then the steady state solution is fairly readily obtained by standard techniques for solving differential

equations. IfF(t)is periodic but non-sinusoidal then Fourier series may be used to obtain the steady state solution. The method is based on theprinciple of superpositionwhich is actually applicable to any linear (homogeneous) differential equation. (Another engineering application is the series

LCRcircuit with an applied periodic voltage.)

The principle of superposition is easily demonstrated:- Lety1(t)andy2(t)be the steady state solutions of (3) whenF(t) =F1(t)andF(t) =F2(t) respectively. Then m d2y1dt

2+cdy1dt

+ky1=F1(t) m d2y2dt

2+cdy2dt

+ky2=F2(t)

Simply adding these equations we obtain

m d2dt

2(y1+y2) +cddt

(y1+y2) +k(y1+y2) =F1(t) +F2(t)HELM (2008):

Section 23.7: An Application of Fourier Series69

from which it follows that ifF(t) =F1(t)+F2(t)then the system response is the sumy1(t)+y2(t).

This, in its simplest form, is the principle of superposition. More generally if the forcing function is

F(t) =N?

n=1F n(t) then the response isy(t) =N? n=1y n(t)whereyn(t)is the response to the forcing functionFn(t). Returning to the specific case whereF(t)is periodic, the solution procedure for the steady state

response is as follows:Step 1:Obtain the Fourier series ofF(t).Step 2:Solve the differential equation (3) for the responseyn(t)corresponding to thenthhar-

monic in the Fourier series. (The responseyoto the constant term, if any, in the Fourier

series may have to be obtained separately.)Step 3:Superpose the solutions obtained to give the overall steady state motion:

y(t) =y0(t) +N? n=1y n(t)

The procedure can be lengthy but the solution is of great engineering interest because if the frequency

of one harmonic in the Fourier series is close to thenatural frequency?k m of the undamped system then the response to that harmonic will dominate the solution.

2. Applying Fourier series to solve a differential equation

The following Task which is quite long will provide useful practice in applying Fourier series to a practical problem. Essentially you should follow Steps 1 to 3 above carefully. TaskThe problem is to find the steady state responsey(t)of a spring/mass/damper system modelled by m d2ydt

2+cdydt

+ky=F(t)(4) whereF(t)is theperiodic square wavefunction shown in the diagram. -t 0t 0 t -F 0 F 0

F(t)70HELM (2008):

Workbook 23: Fourier Series

®Step 1: Obtain the Fourier series ofF(t)noting that it is an odd function:Your solution

Answer

The calculation is similar to those you have performed earlier in this Workbook. SinceF(t)is an odd function and has period2t0so thatω=2π2t0=πt

0, it has Fourier coefficients:

b n=2t 0? to 0 F

0sin?nπtt

0? dt n= 1,2,3,... ?2F0t 0?? t0nπ -cosnπtt 0? t0 0

2F0nπ

(1-cosnπ) =?

4F0nπ

nodd

0neven

soF(t) =4F0π n=1sinnωtn (where the sum is over oddnonly).Step 2(a): Since each term in the Fourier series is a sine term you must now solve (4) to find the steady state responseynto thenthharmonic input:Fn(t) =bnsinnωt n= 1,3,5,... From the basic theory of linear differential equations this response has the form y n=Ancosnωt+Bnsinnωt(5) whereAnandBnare coefficients to be determined by substituting (5) into (4) withF(t) =Fn(t). Do this to obtain simultaneous equations forAnandBn:HELM (2008):

Section 23.7: An Application of Fourier Series71

Your solution

Answer

We have, differentiating (5),

y ?n=nω(-Ansinnωt+Bncosnωt) y ??n= (nω)2(-Ancosnωt-Bnsinnωt) from which, substituting into (4) and collecting terms incosnωtandsinnωt, (-m(nω)2An+cnωBn+kAn)cosnωt+ (-m(nω)2Bn-cnωAn+kBn)sinnωt=bnsinnωt Then, by comparing coefficients ofcosnωtandsinnωt, we obtain the simultaneous equations: (k-m(nω)2)An+c(nω)Bn= 0(6) -c(nω)An+ (k-m(nω)2)Bn=bn(7)Step 2(b): Now solve (6) and (7) to obtainAnandBn:Your solution

72HELM (2008):

Workbook 23: Fourier Series

®Answer

A n=-cωnbn(k-mω2n)2+ω2nc2(8) B n=(k-mω2n)bn(k-mω2n)2+ω2nc2(9)

where we have writtenωnfornωas the frequency of thenthharmonicIt follows that the steady state responseynto thenthharmonic of the Fourier series of the forcing

function is given by (5). The amplitudesAnandBnare given by (8) and (9) respectively in terms of the systems parametersk,c,m, the frequencyωnof the harmonic and its amplitudebn. In practice it is more convenient to representynin the so-calledamplitude/phaseform: y n=Cnsin(ωnt+φn)(10) where, from (5) and (10), A ncosωnt+Bnsinωnt=Cn(cosφnsinωnt+ sinφncosωnt). Hence C nsinφn=AnCncosφn=Bn so tanφn=AnB n=cωn(mω2n-k)2(11) C n=?A

2n+B2n=bn?(mω2n-k)2+ω2nc2(12)

Step 3:

Finally, use the superposition principle, to state the complete steady state response of the system to

the periodic square wave forcing function:Your solution

Answer

y(t) =∞? n=1y n(t) =? n=1 (nodd)C n(sinωnt+φn)whereCnandφnare given by (11) and (12).In practice, sincebn=4F0nπ it follows that the amplitudeCnalso decreases as1n . However, if one of the harmonic frequencies sayω?nis close to the natural frequency?k m of the undamped oscillator then that particular frequency harmonic will dominate in the steady state response. The particular valueω?nwill, of course, depend on the values of the system parameterskandm.HELM (2008):

Section 23.7: An Application of Fourier Series73

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[PDF] An Application of Fourier Series

Fourier Series, Fourier Transform and their Applications to

On Application of Fourier Series - Research India Publications

Introduction to the Theory of Fouriers Series - JSTOR

Fourier Series - School of Mathematics and Natural Sciences

Fourier Transform - Stanford Engineering Everywhere

An Application of Fourier Series

pdf AN INTRODUCTION TO FOURIER SERIES AND THEIR APPLICATIONS

An Application of

Fourier Series

Introduction

Workbook 23: Fourier Series

2+cdydt

The values ofAandBdepend upon initial conditions.

2+cdydt

IfF(t)is sinusoidal such that

LCRcircuit with an applied periodic voltage.)

2+cdy1dt

2+cdy2dt

Simply adding these equations we obtain

2(y1+y2) +cddt

Section 23.7: An Application of Fourier Series69

F(t) =N?

2. Applying Fourier series to solve a differential equation

2+cdydt

F(t)70HELM (2008):

Workbook 23: Fourier Series

Answer

0, it has Fourier coefficients:

0sin?nπtt

2F0nπ

4F0nπ

0neven

Section 23.7: An Application of Fourier Series71

Your solution

Answer

We have, differentiating (5),

72HELM (2008):

Workbook 23: Fourier Series

®Answer

2n+B2n=bn?(mω2n-k)2+ω2nc2(12)

Step 3:

Answer

Section 23.7: An Application of Fourier Series73