Understanding Pole Speed in Digital Control System Design

In summary, to design digital control systems for faster poles, you first determine the controller poles, map them to the s-plane, and then take the real part of the poles and multiply by 10.
  • #1
NeuralNet
24
0
When designing a State Observer for a control system the observer poles ([itex]eig(A-LC)[/itex]) should typically be about 10 times faster than the controller poles ([itex]eig(A-BK)[/itex]).

But when designing a digital control system what does it mean for the poles to be faster? For the analog case it simply means that to get more negative on the real axis, but since the s-plane is mapped to the z-plane, how does one determine how a pole is faster?
 
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  • #2
Vertical lines in the s-plane (real part = constant) maps to circles of constant radius in the z-plane with the origin as their center.

In the z-plane, as you move from within the unit circle to outside of it, you move from the stable region to the unstable, i.e. the time constant of the pole(s) increase in magnitude as you move away from the origin.
 
  • #3
Okay, so the mapping from the s-plane to z-plane is as follows:
[tex]z=e^{sT}[/tex]

And from s-plane to z-plane:
[tex]s=\frac{1}{T}ln(z)[/tex]

Where [itex]T[/itex] is the sampling period.

So if the observer poles are supposed to be "10 time faster" than the controller poles can I do the following, given a digital control system:
1. Determine the controller poles.
2. Map them to the s-plane.
4. Take the real part of the poles and multiply by 10. These will be the continuous Observer Poles.
5. Map the continuous observer poles back to the z-plane. These are the discrete Observer Poles.

Would that work?
 
Last edited:
  • #4
NeuralNet said:
1. Determine the observer poles.
The "controller poles" yeah?

NeuralNet said:
4. Take the real part of the poles and multiply by 10. These will be the continuous Observer Poles.
You're going to affect the damping ratio of the poles as well if you do that. You can move them out along a loci of constant damping ratio (constant angle) until you get the time constant you want.

But yes, you're free to map back and forth as you please.
 
  • #5
milesyoung said:
The "controller poles" yeah?

Yes, I meant "controller poles" (which I have edited).


You have answered my question. Thank you very much.
 

Related to Understanding Pole Speed in Digital Control System Design

1. What is a control system state observer?

A control system state observer is a mathematical model that estimates the internal state variables of a control system based on its inputs and outputs. It is used in control engineering to monitor and predict the behavior of a system in real-time.

2. What is the purpose of a control system state observer?

The purpose of a control system state observer is to provide an estimate of the internal state variables that are not directly measurable in a control system. This allows for improved control and monitoring of the system's behavior.

3. How does a control system state observer work?

A control system state observer works by using mathematical equations and the system's inputs and outputs to estimate the internal state variables. This estimation is continuously updated based on the system's behavior, allowing for real-time monitoring and control.

4. What are the advantages of using a control system state observer?

One advantage of using a control system state observer is that it allows for improved control and monitoring of a system, as it provides estimates of internal variables that are not directly measurable. It also helps in reducing the cost and complexity of a control system, as it eliminates the need for additional sensors to measure all internal variables.

5. What are the limitations of a control system state observer?

One limitation of a control system state observer is that its accuracy is affected by model uncertainties and noise in the system's measurements. It also requires a good understanding of the system's dynamics to design an effective observer. Additionally, it cannot estimate unmeasurable disturbances in the system.

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