How Does Unity Position Feedback Affect System Dynamics in Control Theory?

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Discussion Overview

The discussion revolves around the effects of unity position feedback on system dynamics within control theory. Participants are exploring how to analyze a control system characterized by a specific feedback configuration, focusing on the root locus method and the implications of damping ratio and overshoot on system performance metrics such as settling time, rise time, and peak time.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant has derived the open and closed loop transfer functions and identified poles and zeros, but is uncertain about how to impose a second-order approximation to estimate performance metrics.
  • Another participant suggests focusing on the dominant conjugate pair of poles and adjusting the gain K1 to achieve a desired damping ratio corresponding to 20% overshoot.
  • There is a question about whether to extract the quadratic from the transfer function and adjust K1 based on the step response of the original transfer function.
  • Participants inquire about specific equations or methods to determine the appropriate value for K1, with some suggesting the use of the Routh-Hurwitz Stability Criteria.
  • Confusion arises regarding how to find the undamped natural frequency (ωn) without first calculating other performance metrics, and how the damping ratio (ζ) relates to the location of the complex conjugate pair of poles.
  • One participant expresses uncertainty about the procedure for plotting the root locus and determining the necessary parameters for the closed-loop system.
  • Another participant discusses the geometric interpretation of the damping ratio in relation to the root locus and its implications for determining system dynamics.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the specific methods to apply or the best approach to take for determining K1 and other system parameters. Multiple competing views and uncertainties remain regarding the application of the root locus method and the implications of the damping ratio.

Contextual Notes

Participants mention various methods and criteria, such as the Routh-Hurwitz Stability Criteria, but express uncertainty about their applicability in this context. There are also unresolved questions about the relationship between the damping ratio, natural frequency, and the specific locations of poles on the root locus.

Who May Find This Useful

This discussion may be useful for students and practitioners in control theory, particularly those interested in feedback systems, root locus analysis, and performance metrics related to system dynamics.

  • #91
toolpusher123 said:
G(s): https://app.box.com/s/s7szsp7rztjndh58oolc
H(s): https://app.box.com/s/8hn2fryguhnis8mr0469
F(s) open loop tf when K1=K2: https://app.box.com/s/arwnrxwopi6y2cjls42q
Root Locus of F(s): https://app.box.com/s/wzaupxumo3j96lvjwobo
2nd Order Approx K1=K2: https://app.box.com/s/p2vyncwxhil3252g07d8

I'm hoping that F(s) above is correct as this is what I've based everything afterwards on...
While you did not answer Milesyoung's question, your F(s) open loop is correct.
 
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  • #92
In response to 'milesyoung' post #87;
Miles I have submitted my report. I must thank you for all your help & suggestions. Now that the project is complete, I have a much better understanding of the processes/concepts involved. At the beginning I really did not have a clue. So thanks again for your patience & commitment...

Edit: Thanks to anyone else on the site who added any input.
 
  • #93
donpacino said:
While you did not answer Milesyoung's question, your F(s) open loop is correct.
That's the equivalent system for the forward path of the outer feedback loop, but that's not the function you should use in place of ##F(s)##, since it depends on ##K_1,K_2##.

toolpusher123 said:
Miles I have submitted my report. I must thank you for all your help & suggestions. Now that the project is complete, I have a much better understanding of the processes/concepts involved. At the beginning I really did not have a clue. So thanks again for your patience & commitment...
You're very welcome. Since you've submitted it, I can show you what I was getting at:

The characteristic equation for your system with velocity feedback is (using your definitions):
$$
1 - \frac{K_1 H(s) G(s)}{1 - K_1 s H(s) G(s)} = 0 \Leftrightarrow 1 - K_1 s H(s) G(s) - K_1 H(s) G(s) = 0\\
\Leftrightarrow 1 + K_1\left[-s H(s) G(s) - H(s) G(s)\right] = 0 \Leftrightarrow 1 + K_1 F(s) = 0, F(s) = -s H(s) G(s) - H(s) G(s)
$$
If you plot the root locus for ##F(s)##, you should notice some significant differences from the system without velocity feedback, e.g. it's stable for any ##K_1##, and the dominant branch lies much further into the LHP.
 
  • #94
No my post was in response to your post (post # 87).
My solution regarding my system i.e. K1 = K2 was to find the open-loop tf. The equation I used to do this was: https://app.box.com/s/arwnrxwopi6y2cjls42q

Edit: From post #87 ( "your F(s) open loop is correct").
 
Last edited:
  • #95
toolpusher123 said:
Did I enter an incorrect tf in order to plot 'root locus' of system when K1 = K2 ?
Yes, it should be ##F(s) = -s H(s) G(s) - H(s) G(s)##, as per my post #93.

toolpusher123 said:
Is this the correct root locus i.e. with 'velocity feedback': https://app.box.com/s/wzaupxumo3j96lvjwobo
No, it should look like this:

rlocus.png
 

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