Laplace transforms:Series RLC circuit: Difference between revisions

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which is our answer.
which is our answer.


===Initial/Final Value Theorems===
We now want to use the Initial and Final Value Theorems on this problem.


The Initial Value Theorem states that

<math>\lim_{s \to \infty}sF(s)=f(0^+)</math>

<math> \Rightarrow \lim_{s \to \infty}\dfrac{s^3}{(s^2+400)(0.01s^2+s+10000)}=i(0) </math>

<math> \Rightarrow i(0)=0 </math>

In addition, when we actually evaluate <math>i(0)</math> from our equation for <math>i(t)</math>, we find it to be 0 as well. So, things check out there.

The Final Value Theorem states that

<math> \lim_{s \to 0}sF(s)=f(\infty)</math>

<math> \Rightarrow \lim_{s \to 0}\dfrac{s^3}{(s^2+400)(0.01s^2+s+10000)}=i(\infty) </math>

<math> \Rightarrow i(\infty)=0</math>

This time, when we actually evaluate ''i''(&infin;) from the equation for <math>i(t)</math>, we find it to be undefined. So here, the Final Value Theorem tells us something that is not necessarily true (in fact, because we have oscillating functions, we know that ''i''(&infin;) will not be zero).
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Revision as of 14:12, 22 October 2009

Laplace Transform Example: Series RLC Circuit

Problem

Given a series RLC circuit with , , and , having power source , find an expression for if and .

Solution

We begin with the general formula for voltage drops around the circuit:

Substituting numbers, we get

Now, we take the Laplace Transform and get

Using the fact that , we get

Using partial fraction decomposition, we find that

Finally, we take the inverse Laplace transform to obtain

which is our answer.

Initial/Final Value Theorems

We now want to use the Initial and Final Value Theorems on this problem.

The Initial Value Theorem states that

In addition, when we actually evaluate from our equation for , we find it to be 0 as well. So, things check out there.

The Final Value Theorem states that

This time, when we actually evaluate i(∞) from the equation for , we find it to be undefined. So here, the Final Value Theorem tells us something that is not necessarily true (in fact, because we have oscillating functions, we know that i(∞) will not be zero).


Written by Nathan Reeves ~ Checked by