Question:

Choose the transfer function that best fits the output response to a unit step input change shown in the figure:


 

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When fitting transfer functions to observed data, consider how each component—zeros, poles, and delays—affects the system's dynamic response. This holistic approach aids in more accurately capturing the system's characteristics.
Updated On: Apr 11, 2025
  • \(\frac{(as + 1)e^{-\theta s}}{(\tau_1 s + 1)(\tau_2 s + 1)^2}\)
  • \(\frac{(as + 1)e^{-\theta s}}{(\tau_1 s + 1)(\tau_2 s + 1)}\)
  • \(\frac{(as + 1)}{(\tau_1 s + 1)(\tau_2 s + 1)^2}\)
  • \(\frac{(as + 1)^2 e^{-\theta s}}{(\tau_1 s + 1)(\tau_2 s + 1)^2}\)
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The Correct Option is A

Solution and Explanation

Step 1: Analyze the Transfer Function Configuration.
The presence of a zero and a time delay along with the squared second pole in this configuration provides a dynamic response that begins with a delayed start, quickly rises, overshoots, and then settles, matching the behavior observed in the response curve. 
Step 2: Explain the Fitting Criteria.
The time delay (\(e^{-\theta s}\)) accounts for the initial pause before the response begins.
The zero (\(as + 1\)) enhances the system's response speed post-delay.
The squared pole term \((\tau_2 s + 1)^2\) introduces the necessary damping to control the overshoot and allows the system to settle at a new steady state efficiently.

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