I'm interested in the model contains which 15 parameters?
1. natural frequency ω
2. damping factor ζ
3. open-loop gain
4. system pressure
5. cylinder bore diameter
6. valve flow volume
7~ 15 I don't know, can you point them out? thanks.
The test was done on one of our hydraulic systems. There was no mass, so the natural frequency of the cylinder was very high, much higher than the valve so only the response of the valve was effectively measured.
The picture shows it took 24.312 second to calculate the model using a least squares method.
The computer required 216 ‘guesses’ at what the model should be.
There were 3040 data points. There was a data point for each millisecond in 3.04 seconds.
The test code was written using Python.
The are 15 variables that were determined as show below.
There is some statistical data.
The 15 variables are:
Ratio: this is the ratio of the cylinder gains between extending and retracting.
A1, a2 determine the response of the cylinder. The square root of a1 is the natural frequency of the valve in radians per second.
dead is the dead time of the valve response in seconds.
Off : if the valve offset in % control output.
V0-v9 are the different gains each region.
V0 is the gain from 0-5%
V0+v1 is the gain from 5%-10%
V0+v1+v2 is the gain from 10% to 15%
V0+v1+v2+v3 is the gain from 15% to 20%
V0+v1+v2+v3+v4 is the gain from 20% to 30%
V0+v1+v2+v3+v4+v5 is the gain from 30% to 40%
V0+v1+v2+v3+v4+v5+v6 is the gain from 40% to 50%
V0+v1+v2+v3+v4+v5+v6+v7 is the gain from 50% to 60%
V0+v1+v2+v3+v4+v5+v6+v7+v8 is the gain from 60% to 80%
V0+v1+v2+v3+v4+v5+v6+v7+v8+v9 is the gain from 80% to 100%
There is a good reason why the valve gain from %80 to 100% is the sum of 10 ranges.
We have shown our modeling technology to 3 different major valve manufacturers. So far there is little interest except the valve manufacturers will let us test their small valves. We cannot test big valves because our pump is too small. Our goal is to sell hydraulic motion controllers, not to be a hydraulic test lab. However, we must understand what we are trying to control for best results.