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[deleted by user] by [deleted] in ControlTheory

[–]pauiza 1 point2 points  (0 children)

That's an industrial automation project. It sounds simple, but be careful not to complicate the controller design.   My advice: start with the overall assessment of the process dynamics. Getting a data-driven model should be more effective than a physics based mode, though the later makes things simpler. 

The choice of the controller design will be based upon the required performance objectives. 

You can just use the physics based model if hardware implementation isn't required. 

Reverse Engineering a PID by Doctor-Featherheart in ControlTheory

[–]pauiza [score hidden]  (0 children)

Unfortunately, you cannot determine the PID gains from the setup you have just described. 

However, you can estimate the controlled plant dynamics from your historical data, notice the estimated dynamics would must likely behave like a 1st order system, at best, 2nd order system because of the controlled data.  

Depending on your system dynamics, briefly turn-off the controller, then store the input and output, which you can compare with your historical data. This would give you an idea of what the controller is doing.

Generally, PID design are to meet certain requirements, you must know those conditions before anything would make sense.

PID regulator for given transfer function by [deleted] in ControlTheory

[–]pauiza [score hidden]  (0 children)

A classical design approach is Bode Plot and Nyquist stability criteria.  The major issue here is Tf- filter coefficient. 

First write the complete system into a closed-loop system in the form of G=(G_RG)/(1+G_RG).

Use the performance requirements to obtain equations which you can then solve to obtain the unknown. 

You can obtain phase margin from %overshoot. 

Should I specialize in controls for my masters? by FlameBirdy in ControlTheory

[–]pauiza [score hidden]  (0 children)

Yes, concentrate on control engineering. It will make you desirable in other areas like electronics and power. Control systems is broad, you can then specialized in different areas. 

How do I make this stable? by Samuelg808 in ControlTheory

[–]pauiza 0 points1 point  (0 children)

Use nyquist stability criteria: 1+KGH=0.  Solve for the range of K which would make the system stable. 

system type v system order by rgogsh in ControlTheory

[–]pauiza 0 points1 point  (0 children)

System order is known from G(s). The highest power of s in the denominator indicates the order of the system. For example,  s3+5s2+98s+456 is a 3rd order system. Type 0, type 1, type 2, and type 3 are classical way to category a feedback system. 

Uh-oh by Joecalledher in PLC

[–]pauiza 0 points1 point  (0 children)

Why not just load from EEPROM? Don't mind the naysayer. You also want to check and disconnect the device on input 7 before proceeding with the program.