Signals & Systems - Laplace - Oscillatory Component

In summary, the oscillatory component will only be present if the denominator of the laplace equation has a complex number in it. If R is greater than 1/L, then the exponential e will converge to 0 and the signal will be a DC signal.
  • #1
Angello90
65
0

Homework Statement


What is that oscillatory component? And is my answer for the following correct?

[tex]x(t) = u(t)[/tex]
[tex]H(s) = \frac{R}{R + sL}[/tex]

[tex]y(t)[/tex] will contain oscillatory component if
[tex]R > \frac{1}{L}[/tex]
True or False?

Homework Equations


Basic Laplace Transform:
[tex]u(t) \longrightarrow \frac{1}{s}[/tex]
[tex] e^{-at}u(t) \longrightarrow \frac{1}{s+a}[/tex]


The Attempt at a Solution


[tex]H(s) = \frac{\frac{R}{L}}{s + \frac{R}{L}}[/tex]
[tex]X(s) = \frac{1}{s}[/tex]
[tex]Y(s) = \frac{1}{s} * \frac{\frac{R}{L}}{s + \frac{R}{L}}[/tex]
where [tex]*[/tex] donates multiplication not convolution.

Doing partial fraction expansion I got:
[tex]Y(s) = \frac{1}{s} - \frac{1}{s + \frac{R}{L}}[/tex]
which in time domain is:
[tex]y(t) = u(t) - e^{\frac{-Rt}{L}}u(t)[/tex]

Now, clearly, if:
[tex]R > \frac{1}{L}[/tex]
that exponential e will converge to 0, and signal would eventually be a DC signal - 1 which is donated by u(t) right? So output y(t) doesn't have an oscillatory component?
 
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  • #2
Euler's identity is [tex] e^{ix} = \cos(x) + i\sin(x)[/tex] Add this to your list of relevant equations and the answer should be clear.
 
  • #3
viscousflow I don't really see how I could use this. I assume I need to change
[tex]e^{\frac{-Rt}{L}}u(t)[/tex]
But I don't know how, cause I don't have i. Should I take one i outside?
[tex]e^{\frac{i.i.Rt}{L}}u(t)[/tex]
Than I would end up with:
[tex]e^{\frac{i.i.Rt}{L}}u(t) = (Cosh(\frac{Rt}{L}) - Sinh(\frac{Rt}{L}))u(t)[/tex]
Am I going in right direction?
 
  • #4
What it boils down to is, for any first order system to be oscillatory, your denominator needs to have a complex number. Therefore, it needs to be of the form [tex] s + (a+bi)[/tex]
 
  • #5
Ok, so should I do the partial fraction expansion as I did and work on:
[tex]Y(s) = \frac{1}{s} - \frac{1}{s + \frac{R}{L}}[/tex]
or start over? Or... there is no complex component in dominator, therefore there is no oscillatory component?

Sorry for being annoying.
 
  • #6
No, all you need to do is perform the substitution in your second equation under "Relevant equations"

[tex]
e^{-at}u(t) \longrightarrow \frac{1}{s+a}
[/tex]

where [tex] a = b+ci[/tex]

You need to divide top and bottom by R
 
  • #7
But isn't this rather wierd? I would get
[tex]Y(s) = \frac{1}{s} - \frac{\frac{1}{R}}{\frac{s}{R} + \frac{1}{L}}[/tex]
and than I should transform from Laplace to time domain?
 
  • #8
Seems as though you made it a bit complicated. Let me help you out a bit.

[tex]
H(s) = \frac{R}{R + sL}
[/tex]

Divide by R

[tex]Y(s) = \frac{1}{ s(\frac{L}{R}s + 1)}[/tex] or [tex]Y(s) =\frac{1}{ s(s + \frac{R}{L})}[/tex]

your roots are
[tex] s=0; s= -\frac{R}{L}[/tex]

Thus, R can be complex and L can be real.
 
  • #9
Ok I found this extract in the book that my department is using for signals and systems, saying that,
Assuming that we have:
[tex]\frac{A_{1}}{s-\alpha - j\omega_{0}} + \frac{A_{2}}{s-\alpha + j\omega_{0}} [/tex]
can be replaces by:
[tex]\frac{B_{1}s + B_{2}}{(s-\alpha - j\omega_{0})((s-\alpha + j\omega_{0})} [/tex]
and simplifying:
[tex]\frac{B_{1}s + B_{2}}{(s-\alpha)^{2} + \omega_{0}^{2}}[/tex]

And there is a transition one can use:
[tex]e^{at}cos(\omega_{0}t) \longleftrightarrow \frac{(s-\alpha)}{(s-\alpha)^{2} + \omega_{0}^{2}}[/tex]
and
[tex]e^{at}sin(\omega_{0}t) \longleftrightarrow \frac{\omega_{0}}{(s-\alpha)^{2} + \omega_{0}^{2}}[/tex]

can these transitions be used?
 
  • #10
Hold on, so by saying that s=0, s=-R/L, and assuming that R is and imaginary number and L is real, that eqn has a oscillatory component? My lecture never covered that part of the course, yet he examines on this .

Will this hold the fact that R>1/L? Can imaginary number be greater than rational number?
 

FAQ: Signals & Systems - Laplace - Oscillatory Component

What is the Laplace transform?

The Laplace transform is a mathematical tool used to transform a function of time into a function of complex frequency. It is particularly useful in studying systems with time-varying signals, such as electrical circuits or mechanical systems.

How is the Laplace transform used in signals and systems?

The Laplace transform is used to analyze the behavior of systems with time-varying signals. It allows us to convert the differential equations that describe the system into algebraic equations, making it easier to solve and understand the system's behavior.

What is the oscillatory component in signals and systems?

The oscillatory component in signals and systems refers to the part of a signal that is characterized by periodic oscillations or vibrations. It is often represented by a sinusoidal function and can be studied using tools such as the Laplace transform.

How does the Laplace transform handle the oscillatory component?

The Laplace transform can handle the oscillatory component by converting the time-domain signal into the frequency-domain, where the oscillations can be represented as complex numbers. This allows us to easily analyze and manipulate the oscillatory component using mathematical operations.

What are some real-world applications of the Laplace transform in signals and systems?

The Laplace transform has many real-world applications, including in electronic circuits, control systems, and signal processing. It is also used in fields such as physics and engineering to study systems with time-varying signals, such as vibrations in mechanical systems or electrical signals in communication systems.

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