Bode Plot - Calculating ωgc and ωpc analytically

In summary, ωgc and ωpc can be calculated from a Bode Plot by using the Laplace transform. However, there is an error in the approximation when Gain is low.
  • #1
phiby
75
0
I am learning to draw Bode Plots. I am able to figure out ωgc, ωpc, Phase Margin & Gain Margin graphically from the Bode Plot. But I was wondering if there is a way to calculate ωgc and ωpc mathematically with some formulas - how do I do this?
 
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  • #2
There is the Laplace transform that converts a time domain equation to an "s" domain equation, where

[tex]s = i\omega[/tex]
or
[tex]s = \sigma + i\omega[/tex]

In this case, the time domain equation might be some differential equation that defines the behavior of a filter.
 
  • #3
I calculated ωgc analytically & compared it to the one I got from a Bode plot.

When Gain is rather low (say 2), then the calculated ωgc varies a lot from the one obtained from an asymptotic Bode Plot.

For eg.

let's take
G(s)H(s) = 80/(s)(s+2)(s+20)

= 2/(s)(1 + 0.5s)(1 + 0.05s).

In this case the ωgc is very close to where the approximation error happens for the first cornering frequency (2 rad/s - corresponding to (1 + 0.5s)).

My calculated ωgc = 1.57 rad/s.
The one on the graph (where the Magnitude plot intersects 0) is around 2 rad/s.

On a semilog paper the horizontal distance in the 2 lines (ω = 1.57 & ω = 2) is rather big.

Is this a known issue?
 
  • #4
I use Bode plot for years to design all sort of closed loop control systems and I consider myself pretty good at taming them. I never get into the s-plane stuff. Bode plot and the ωgc is almost two different thing, you draw your Bode plot from knowing the pole and zero frequency of the system, not the other way around. When you use Bode Plot, you try to avoid all the calculation and use graph to design the system. If you want to do calculation, don't use Bode Plot.

When you design a closed loop system, you measure the system poles and zeros and design the amplifier circuit with poles and zeros to get single pole cross over with enough phase margin. Identifying the system poles and zeros are the most difficult part.

When you identify all the poles and zeros of the system, your job is over 90% done, the rest is just defining which part belong to the forward gain and which part be the reverse feedback and draw the Bode plot and add your own gain, poles and zeros to get the single pole cross over with phase margin!
 
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  • #5
i remember calictlating phase cross over frequency by equating argument of open loop transfer function to -180 degrees and gain cross over frequency by equating magnitude to 1. . .
 

Related to Bode Plot - Calculating ωgc and ωpc analytically

1. What is a Bode plot and why is it used?

A Bode plot is a graphical representation of the frequency response of a system. It shows the magnitude and phase of the system's response to different frequencies. It is used to analyze the stability and performance of a system.

2. How do you calculate ωgc and ωpc analytically from a Bode plot?

To calculate ωgc (gain crossover frequency) analytically, find the frequency at which the magnitude plot intersects the 0 dB line. This is the frequency where the system's gain is equal to 1 or 0 dB. To calculate ωpc (phase crossover frequency), find the frequency at which the phase plot intersects -180 degrees. This is the frequency where the system's phase shift is equal to -180 degrees.

3. Why is it important to calculate ωgc and ωpc?

ωgc and ωpc are important parameters in analyzing the stability and performance of a system. ωgc represents the frequency at which the system's gain starts to decrease, indicating the stability of the system. ωpc represents the frequency at which the system's phase shift reaches -180 degrees, indicating the system's ability to respond to changes in the input.

4. What are the limitations of calculating ωgc and ωpc analytically from a Bode plot?

Calculating ωgc and ωpc analytically can only provide approximate values and may not be accurate in certain cases, such as when the Bode plot has irregularities or when the system has multiple poles and zeros. It is also limited to linear systems and may not be applicable to non-linear systems.

5. Are there other methods for calculating ωgc and ωpc?

Yes, there are other methods for calculating ωgc and ωpc, such as using numerical techniques like root locus or frequency response analysis. These methods may be more accurate and applicable to non-linear systems, but they require more complex calculations and may not provide a visual representation like a Bode plot.

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