Analytical Expressions for Frequency Response

In summary, the conversation discusses how to convert a trigonometric function into rectangular phasor form and then simplify it using Euler's formula and properties of exponentials. The author also mentions the use of partial fraction expansion to isolate the poles of a rational function, which are associated with the output frequency in a linear time invariant system.
  • #1
MarkDECE
1
0
Hi,

I am struggling to understand the maths in the text shown below.

(1) How does: r(t) = Acos(wt)+Bsin(wt)
become; sqrt((A^2)+(B^2))cos(wt - arctan(B/A))?

(2) He states that we can represent the input as a phasor and in one of three ways but doesn't say which one.

(3) He then focus on the forced response {R(s)} the laplace transform of the input.

(4) He then then separates the forced solution from the transient solution by performing a partial faction expansion but I am unsure what is meant by this seperation?

Any help genuinely appreciated.
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  • #2
1) First write r(t) in rectangular phasor form:
r(t)=Acos(wt)+Bsin(wt)
=Re{A exp(jwt)}-Re{jB exp(jwt)}
=Re{(A-jB) exp(jwt)}
=Re{sqrt(A^2+B^2) exp(-jarctan(B/A)) exp(jwt)}
=sqrt(A^2+B^2)cos(wt-arctan(B/A) //

2) You can see from 1) that I started in trignometric, went to rectangular then used Euler's formula and a property of exponentials to simplify. This can also be done with trig identities but there are extra steps and since you have a linear system this is an easier approach anyways.

3) I believe the author has implicitly assumed a linear time invariant system, G(s), which is stable and hence the transient contribution is negligible in the long term therefore he focuses on the sinusoidal steady-state response only, C_ss(s).

4) partial faction expansion is a method to isolate the "poles" of a rational function. Remeber the location of the poles are growth (or decay) rates of the exponential functions in the time-domain. Incidentally in this example the poles s=+-jw are associated with the output (and input) frequency since sinusoids are the eigenfunctions of LTI systems.
 

FAQ: Analytical Expressions for Frequency Response

What is an analytical expression for frequency response?

An analytical expression for frequency response is a mathematical formula that describes the relationship between input and output signals in a system, as a function of frequency.

Why is it important to have an analytical expression for frequency response?

An analytical expression for frequency response allows us to understand and predict the behavior of a system at different frequencies, which is crucial for designing and optimizing various electronic and mechanical systems.

How is an analytical expression for frequency response derived?

An analytical expression for frequency response is typically derived through a process called Fourier analysis, which involves breaking down a complex signal into its individual frequency components and analyzing their amplitudes and phases.

What are some common analytical expressions for frequency response?

Some common analytical expressions for frequency response include low-pass, high-pass, band-pass, and band-stop filters, as well as transfer functions for amplifiers and oscillators.

Can an analytical expression for frequency response be used to design a system?

Yes, an analytical expression for frequency response can be used to design a system by selecting components and parameters that will produce the desired frequency response, and then verifying the design through simulation or experimentation.

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