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In this portion of the ece 486 course, students will learn about control system design from a frequency response perspective. This approach complements the root locus design method and offers new insights into controller design. An example of an underdamped second order linear system and explains how to determine the magnitude and phase of the system's transfer function at different frequencies. Students will learn about important characteristics of the magnitude plot, such as bandwidth, resonant peak, and resonant frequency.
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Reading: FPE, Section 6.
In this portion of the course, we will study control system design from a frequency response perspective. This will be a dual perspective to the root locus design method, and will offer new insights into controller design.
Suppose we consider a linear system given by the transfer function H(s). Recall that, if the system is stable, the steady state output of the system will be A|H(jω)| cos(ωt + ∠H(jω)) when the input is A cos(ωt):
This is called the frequency response of the system. The magnitude and phase of H(s) when s = jω can therefore be determined by applying the input cos(ωt), and examining the output. As we will see, this will tell us a great deal about the system. We will be working with graphs of the magnitude and phase of the system as we sweep ω from 0 to ∞.
As an example, consider an underdamped second order linear system with transfer function
H(s) =
ω n^2 s^2 + 2ζωns + ω^2 n
The magnitude of this function at s = jω is given by
|H(jω)| = ω n^2 | − ω^2 + 2ζωnωj + ω n^2 |
ω^2 n √ (ω^2 n − ω^2 )^2 + 4ζ^2 ω^2 nω^2
(1 − ( (^) ωωn )^2 )^2 + 4ζ^2 ( (^) ωωn )^2
and the phase is given by
∠H(jω) = ∠ ω n^2 −ω^2 + 2ζωnωj + ω^2 n
−( (^) ωωn )^2 + 2ζ( (^) ωωn )j + 1
= − tan−^1
2 ζ (^) ωωn
1 −
ω ωn
Since these quantities are a function of (^) ωωn , we can plot them vs (^) ωωn for various values of ζ:
Note that in the above plots, we used a logarithmic scale for the frequency. This is commonly done in order to include a wider range of frequencies in our plots. The intervals on logarithmic scales are known as decades. We can label the following important characteristics of the magnitude plot:
In the next lecture, we will develop some ways to systematically draw the magnitude and phase for general transfer functions.