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

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The discussion focuses on analyzing a control system with unity position feedback by plotting the root locus as a function of pitch gain (K1) when K2 is set to zero. Participants derived the open and closed-loop transfer functions, identifying the poles and zeros, and emphasized the importance of the dominant complex conjugate poles for approximating the system's dynamics. They discussed how to impose a second-order system approximation to estimate settling time, rise time, and peak time, particularly under the constraint of achieving a 20% overshoot. The conversation also touched on using the damping ratio and natural frequency to find the appropriate K1 value, with some confusion about the correct method for plotting the root locus and determining system parameters. Ultimately, they concluded that adjustments to K1 are necessary to align the system's response with the desired overshoot characteristics.
  • #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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