Generate plant model for given experimental input output data without using System Identification Toolbox
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I am building a controller for a vacuum pump plant (input: RPM data, Feedback: Vacuum Pressure) however the manufacturer of the motor used in the pump is unable to share motor specs info
However I do have a test bed that can be run and I can record the input to and feedback from the plant
Is it possible for me to generate a plant model using this experimental data that can be replaced with a transfer function in Simulink?
I have seen tutorials using System Identification toolbox however unfortunately I donot and cannot obtain that tootlbox currently
Some of the other tutorials I have seen involve some complex math I am not very familiar with but I am willing to give it a shot if needed.
Kindly advice.
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Mathieu NOE
2025-10-24
hello
if I understand correctly, we are not here to look at raw time domain data ,we want to address how pressure is affected by a change of rpm, so see how pressure evolves as we make small steps changes in RPM ? I assume this is going to be a simple first order model including gain (may depend of rpm itself) , time constant and maybe some delay
so the test protocol could be to define a profile of rpm from low to max with step changes every x seconds (depends how fast the pump is responding)
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