Commit Graph

5 Commits

Author SHA1 Message Date
Yuri D'Elia
cc96a47e7f Implement temperature model autotuning
Calibrate C/R values via univariate minimization using golden section.
This is done in several passes:

- Bootstrap C by setting an initial high R value
- Calibrate R at the requested working temperature
- Cooldown
- Refine C to the final value
- Estimate R losses for a subset of fan speeds
- Interpolate remaining values to speed-up the process

This results in robust values which are tailored to the current
filtering constants, and avoid having to sample for an extended
time to reach the required resolution.

The refining pass could avoid cooldown if the recording buffer was at
least twice as large, so that we could record both the heating and the
steady-state, saving _considerable_ time.
2022-07-25 17:30:22 +02:00
Yuri D'Elia
ec74b88ebc Correct pre-warning to just warning 2022-07-25 17:30:22 +02:00
Yuri D'Elia
8620059067 Allow to disable the model warning beeping
Mostly useful for debugging
2022-07-25 17:30:22 +02:00
Yuri D'Elia
6832ec7648 Allow to save/restore temperature model settings
This currently bypasses the ConfigurationStore, which doesn't fit the
malin model nicely.

temp_model is using it's own private copy directly.

But maybe we should change this in the future.
2022-07-25 17:30:22 +02:00
Yuri D'Elia
b0b2ff5f9e Rewrite/modularize the model checker
- Allow all parameters to be changed at runtime through M310
- Move the model prototypes into a separate temp_model.h header
- Allow the checked to be enabled/disabled at runtime
- Introduce a warning threshold
2022-07-25 17:30:22 +02:00