For non-engineers, like me, who have not been exposed to "PID controllers", this ARTICLE may be enlightening.

This is very interesting. I recall programming PID control loops for closed loop control systems when I was in college (Electrical Engineering). That was a LONG time ago - we were coding in Fortran and submitting stacks of punch cards, which translates into I am OLD. OP please do post your progress. In the mean time, I have some reading to do. I love this stuff!

Zitat von »Speedy-VI«

I recall programming PID control loops for closed loop control systems

when you controll your fan speed based on the water temperature this is a closed loop system.

Just out of curiosity, you do all this as a tinker experiment, or ..

i asked because from the curves i see, it seems you're basically recreating the existing. By controlling the fans from water temperature, or the delta between ambient and water temperatures (quieter if you have temperature swings in the room), you get to the same result.

Zitat von »Remayz«

i asked because from the curves i see, it seems you're basically recreating the existing. By controlling the fans from water temperature, or the delta between ambient and water temperatures (quieter if you have temperature swings in the room), you get to the same result.

Well AQS does provide the ability to manually enter values for Factors P. I, D, Hysteresis, and a Reset Time for Factor D if you select Target Temperature mode and then User Defined. I found that if you select one of the presets first (Fastest, Faster, Normal, Slower, Slowest) and then User Defined, you can see what values AQS sets for each preset. I guess you could try them all and graph the resulting curve for each one. If you still felt that all of these presets were not acceptable, once you see how the values affect the curve you could make an educated guess of what values to enter to get whatever response you are after. I think OP is saying that with the PID Loop Simulator he should be able to predict the outcome of entering these values. Then if you know exactly what response you want you can calculate the values to enter to get that response. I may be confused about this. It's interesting, but I have found the curves AQS provides are sufficient for my needs. This is one of the many features in AQS that you can tinker with, and I guess OP is compelled to tinker with it. I am curious how this will develop.

I approached things a slightly different way using virtual sensors.

For my Water Pump Control I have a Virtual Sensor configures so that it outputs one of two values dependent on load & time.

The lower value is the default and runs the pump at just under 3k rpm.(based on its very simple fan curve with no tweaks)

The higher value runs the pump at its max speed of ~ 4.5k rpm

The Higher speed is triggered

IF either Average CPU/GPU load as measured over 15 seconds goes above threshold (80%) And it then stays above this for a further defined period (120 seconds) THEN use High Value.
In this scenario I also have a 60 second delay on shut off(which actually I need to add in for the next scenario as welll now I think about it)


If However the Average of both CPU & GPU go above threshold then High Value is used straight away.

WaterPump_Sensor.jpg




For Fan Control I have something similar but with a twist.

In this case it uses the H2O delta as a Normal value and a first fixed value (Temp Output) as the standard High.
This then runs the Rad Fans & Case fans on their own curves which are configured so that the Rad fans are more sensitive (ie can run from 0-100% )than the case fans which always run at pretty much a fixed speed based on their curve (my rads are mounted externally).

The next added twst is that once an hour for 5 minutes all fans (inlduing case fans) are spun up to 100% by setting a Max value (100) to be used as the output temp.

Fan_Curve_Sensor.jpg

Zitat von »WinstonWoof«

In this scenario I also have a 60 second delay on shut off(which actually I need to add in for the next scenario as welll now I think about it)

Quickly modified them to the Delay Off applies evenly

WaterPump_Sensor.jpg

Fan_Curve_Sensor.jpg

Zitat von »RBMDragon«

"I used the guides from Engineers-Excel.
The gain was the factor between the change/full range, i.e. 1."

It is not clear to me neither in the Engineers-Excel guide nor in your calculations why Gain=1.
In you calculation the gain should be G=deltaPV/deltaMV so (25,6-35,1)/(90-0) = -0,1.
as well as in the web site mentioned it should be (110-100) / (55-50) =2

One of my systems, the fans have some trouble holding steady when the coolant is at the target temp if the system TDP is low (but not idle) and not when the TDP is high. When I use slower response options, the oscillations don't happen but the temp overshoots by 2-3C before the fans catch up when the system goes from idle to high TDP.

Not that nesting control loops is necessarily a good idea, but is there a way to link the PID values to a smoothed TDP value in the Playground? Or is that not possible because the PID is being executed on the aquaero and this type of linking with the Windows service isn't possible?

After a lot of hours spent to study again PIDs, and hours spent to make a step response of my system, I have figured out that Aqaucomputer had chooesen a PID gains rapresentation with non pratical sense.
K gains or T have a standard representation - form. Aquacomputer chose to adopt its own convenction for those coefficent (they cannot be negative) so it is impossible to a real PID expert to calculate the proper coefficent of its system just beacuse the aquacomputer coefficent representation are custom and not documented.

So don't waste your time with equations and step response..... it will lead you to a death end path.

Zitat von »ronzino«

After a lot of hours spent to study again PIDs, and hours spent to make a step response of my system, I have figured out that Aqaucomputer had chooesen a PID gains rapresentation with non pratical sense.
K gains or T have a standard representation - form. Aquacomputer chose to adopt its own convenction for those coefficent (they cannot be negative) so it is impossible to a real PID expert to calculate the proper coefficent of its system just beacuse the aquacomputer coefficent representation are custom and not documented.

So don't waste your time with equations and step response..... it will lead you to a death end path.

This is concerning. Can you elaborate a bit more on your findings?