Laplace Transforms: Vertical Motion of a Coupled Spring System

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Problem Statement

Figure 1. Coupled Spring System.

Derive the system of differential equations describing the straight-line vertical motion of the coupled spring shown in Figure 1. Use Laplace transform to solve the system when

k1=k2=k3=1

,

m1=m2=1

, and

x1(0)=0

,

x1(0)=1

,

x2(0)=0

, and

x'2(0)=1

.

Solution

At positions x1 and x2, the masses m1 and m2 are in equilibrium. Thus, the motion equations for m1 and m2 are,

m1x¨1=k1x1+k2(x2x1)m1x¨1+k1x1k2(x2x1)=0
m2x¨2=k2(x2x1)k3x2m2x¨2+k2(x2x1)k3x2=0


where m1x'1 and m2x'2 represent the Newton's Second Law of Motion and k1x1+k2(x2x1) and k2(x2x1)k3x2 represent the net forces acting in the masses.

Laplace Transform

Applying the Laplace Transform to the motion equations and plugging the values of k1, k2, k3, m1, m2, x1(0), x1(0), x2(0), and x'2(0) for this systems, we obtain,

[m1x¨1+k1x1k2(x2x1)]=0

m1[s2X1(s)sx1(0)x˙1(0)]+k1X1(s)k2(X2(s)X1(s))=0
 
X1(s)(m1s2+k1+k2)=m1(sx1(0)x˙1(0))+k2X2(s)

X1(s)=m1(sx1(0)+x˙1(0))+k2X2(s)(m1s2+k1+k2)

X1(s)=1(s0+(1)]+1X2(s)(1s2+1+1)

X1(s)=X2(s)1(s2+2)


[m2x¨2+k2(x2x1)+k3x2]=0

m2[s2X2(s)sx2(0)x˙2(0)]+k2(X2(s)X1(s))+k3X2(s)=0

X2(s)(m2s2+k2+k3)=m2(sx2(0)x˙2(0))+k2X1(s)

X2(s)=m2(sx2(0)+x˙2(0))+k2X1(s)(m2s2+k2+k3)

X2(s)=1(s0+1)+1X1(s)(1s2+1+1)

X2(s)=X1(s)+1(s2+2)

Finally, solving for X1(s) and X2(s) yields,

X1(s)=1s2+3

X2(s)=1s2+3

Inverse Laplace Transform

First, we recognize that

sin(kt)=1{ks2+k2}

On the other hand, we identify that k2=3, and so k=3. Hence, we fix the expression by multiplying and dividing by 3,

1[X1(s)]=1[1s2+3]=131[3s2+3]=13sin(3t)

1[X2(s)]=1[1s2+3]=131[3s2+3]=13sin(3t)

A plot of the system displacement is shown on Figure 2.

Initial-Value & Final-Value Theorem

The initial-value and final-value theorem can be useful the finding the behavior of a functionat small and large times respectively. By definition, the Initial-Value Theorem is,

limssX(s)=x(0)

and the Final-Value Theorem is,

lims0sX(s)=x()

Thus, applying both theorems to our the Laplace Transforms,

limssX1(s)=limss1s2+3=limsss2+3=2+3=0=x1(0)

limssX2(s)=limss1s2+3=limsss2+3=2+3=0=x2(0)
lims0sX1(s)==lims0s1s2+3=lims0ss2+3=002+3=0=x1()

lims0sX2(s)==lims0s1s2+3=lims0ss2+3=002+3=0=x2()

Bode Plot

The Bode plot can be easily done using a program like Octave or MATLAB.

Magnitude Frequency Response

Convolution

State Equation Model