MHB Transfer function of a damped hanging mass

Click For Summary
To find the transfer function of a damped hanging mass system, the equations of motion for both masses must be correctly established. The input force \(u\) and the damping force \(F_d\) are defined, leading to the equations \(u - b(\dot{x}_1 + \dot{x}_2) = m(\ddot{x_1} + \ddot{x_2})\) and separate equations for each mass. The Laplace transforms yield equations that include both \(X_1(s)\) and \(X_2(s)\), complicating the derivation of the transfer function \(H(s) = \frac{X_1(s)}{U(s)}\). To isolate \(X_2(s)\), one approach is to express it in terms of \(X_1(s)\) using the established equations, allowing for simplification. The discussion emphasizes the need for careful modeling of the system dynamics to accurately derive the transfer function.
Dustinsfl
Messages
2,217
Reaction score
5
How do I find the transfer function of damped masses hanging?

I know that the transfer function is
\[
H(s) = \frac{\mathcal{L}\{y(t)\}}{\mathcal{L}\{x(t)\}}
\]
where \(u\) is the input which is a force and \(x_1\) is the output.

Given the following diagram (see below), how do I find the input and output functions?

http://imagizer.imageshack.us/v2/800x600q90/40/eh7q.png
 
Last edited:
Mathematics news on Phys.org
The force of damping is
\[
F_d = b\frac{dx}{dt}
\]
so by Newton's Law, the system can be written as
\[
u - b(\dot{x}_1 + \dot{x}_2) = m(\ddot{x_1} + \ddot{x}_2).
\]
Is this Correct?

How do I separate out the input from the output?
 
I tried modeling the forces separately but not sure if this is wise either.

For the first mass, we have $-b\dot{x}_1 = m\ddot{x_1}$, correct?

Now the second is $-b(\dot{x}_1 + \dot{x}_2) + u = m\ddot{x}_2$, correct?

I should be able to take the Laplace transform of both and end up with what I need to construct the transfer function which is
$$
H(s) = \frac{X_1(s)}{U(s)}.
$$
However, I still have and $X_2(s)$. Are my equations of motion wrong? If not, what am I doing incorrectly?

If take the Laplace transform of both, we have
\[
X_1(s)(s^2m + bs) = 0
\]
and
\[
X_2(s)(s^2m + sb) + sbX_1(s) - U(s) = 0
\]
The initial conditions are zero since when finding the transfer function, the initial conditions are zero by definition. If this is correct, how do I get rid of \(X_2(s)\)?
 
Last edited:
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

Similar threads

Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
10K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
745
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 0 ·
Replies
0
Views
1K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K