[time-nuts] Neural net to control oven temperature ?

Ben Bradley ben.pi.bradley at gmail.com
Wed Jul 10 05:06:04 UTC 2019


I recall Bob Pease in one of his many "What's all this ...stuff"
columns made a small oven and PID temperature controller that he
claimed kept the temperature within 0.001 degrees or something like
that. This would make machine learning severe overkill. Temp control
is slow enough (and generates/uses a small enough data set) that for
ML or any other method, an ARM or even AVR microcontroller might be
enough to do it.

I did a quick Google search, this column makes no such claim (it's
about temp controllers in general), but he surely wrote several times
about PID and/or temperature control. He has a lot of hints and ideas
in this column, like having different sensors for the P and I, placed
strategically for better operation:

https://www.electronicdesign.com/analog/whats-all-p-i-d-stuff-anyhow

On Wed, Jul 10, 2019 at 12:05 AM paul swed <paulswedb at gmail.com> wrote:
>
> I will mention that TI has a neural net chip/eval board now for as I recall
> $99.
> Like so many things maybe it makes sense.
> Regards
> Paul
> WB8TSL
>
> On Tue, Jul 9, 2019 at 11:02 PM Chase Turner <seapeatea at gmail.com> wrote:
>
> > Hi Glen,
> >
> > This is actually something I know a little about.
> >
> > Neural nets are most useful for feature selection, that is, finding the
> > important x that is a function of y, in a very large sea of x variables. In
> > this case, we already know what's important, which is temperature
> > stability. So, a neural net would be a bit much when we already know what
> > feature is important for function. Additionally, unless I'm mistaken, oven
> > control is probably a linear relationship of some sort or another, and
> > neural nets are much better suited for examining and revealing insights
> > about non-linear data.
> >
> > If you have a method by which you can collect the necessary data that has a
> > bearing on the oven functionality, you'd probably be better off training a
> > logistic classifier, and using it instead. That said, both methods would be
> > overkill, imo- I'd use a PID instead.
> >
> > Best,
> > Chase
> >
> > On Tue, Jul 9, 2019 at 10:00 PM Glen English VK1XX <
> > glenlist at pacificmedia.com.au> wrote:
> >
> > > Has anyone tried to use a Neural net to control oven tmep, rather than
> > > the ye olde PID ?
> > >
> > > IE the algorithm learns from previous beheviour and successfully
> > > predicts behaviour (or not).
> > >
> > > I'm sure there are a few out there proficient with machine learning
> > > algorithms.
> > >
> > > Might make a good masters thesis I bet.
> > >
> > > Given that oven control based on inputs and whatever is not random,
> > > unlike say flicker etc.
> > >
> > > glen
> > >
> > >
> > >
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