Concept:
The steady-state error \(e_{ss}\) is computed using the Final Value Theorem of Laplace transforms:
\[
e_{ss} = \lim_{s \to 0} s \cdot E(s)
\]
where \(E(s)\) represents the error signal, defined as the difference between input reference and feedback output. For a unity feedback loop configuration:
\[
E(s) = R(s) - C(s) = R(s)\left[1 - \frac{C(s)}{R(s)}\right]
\]
Step 1: Substitute the given system transfer function into the error equation.
We are given:
\[
\frac{C(s)}{R(s)} = \frac{\omega_n^2}{s^2 + 2\zeta\omega_n s + \omega_n^2}
\]
Thus, the error expression becomes:
\[
E(s) = R(s) \left[ 1 - \frac{\omega_n^2}{s^2 + 2\zeta\omega_n s + \omega_n^2} \right]
\]
Taking a common denominator inside the brackets:
\[
E(s) = R(s) \left[ \frac{(s^2 + 2\zeta\omega_n s + \omega_n^2) - \omega_n^2}{s^2 + 2\zeta\omega_n s + \omega_n^2} \right] = R(s) \left[ \frac{s^2 + 2\zeta\omega_n s}{s^2 + 2\zeta\omega_n s + \omega_n^2} \right]
\]
Step 2: Evaluate for a unit ramp input.
For a unit ramp input, the Laplace transform is given by \(R(s) = \frac{1}{s^2}\). Substituting this value:
\[
E(s) = \frac{1}{s^2} \cdot \frac{s(s + 2\zeta\omega_n)}{s^2 + 2\zeta\omega_n s + \omega_n^2} = \frac{s + 2\zeta\omega_n}{s(s^2 + 2\zeta\omega_n s + \omega_n^2)}
\]
Step 3: Apply the Final Value Theorem.
Now, let's determine the value of the steady-state error:
\[
e_{ss} = \lim_{s \to 0} s \cdot E(s) = \lim_{s \to 0} s \cdot \left[ \frac{s + 2\zeta\omega_n}{s(s^2 + 2\zeta\omega_n s + \omega_n^2)} \right]
\]
Canceling out the variable \(s\) from the numerator and denominator:
\[
e_{ss} = \lim_{s \to 0} \frac{s + 2\zeta\omega_n}{s^2 + 2\zeta\omega_n s + \omega_n^2}
\]
Evaluating the limit by substituting \(s = 0\):
\[
e_{ss} = \frac{0 + 2\zeta\omega_n}{0 + 0 + \omega_n^2} = \frac{2\zeta\omega_n}{\omega_n^2} = \frac{2\zeta}{\omega_n}
\]
This expression matches Option (B).