The article link in my post doesn't have valid links to the figures (Pease hand-drawn schematics), but these links work: https://web.archive.org/web/20121113202641/https://www.electronicdesign.com/files/29/6131/figure_01.gif https://web.archive.org/web/20121113202709/https://www.electronicdesign.com/files/29/6131/figure_02.gif https://web.archive.org/web/20121113202731/https://www.electronicdesign.com/files/29/6131/figure_03.gif
On Wed, Jul 10, 2019 at 1:06 AM Ben Bradley <ben.pi.brad...@gmail.com> wrote: > > 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 <paulsw...@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 <seapea...@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 < > > > glenl...@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 > > > > > > > > > > > > > > > > _______________________________________________ > > > > time-nuts mailing list -- time-nuts@lists.febo.com > > > > To unsubscribe, go to > > > > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > > > > and follow the instructions there. > > > > > > > _______________________________________________ > > > time-nuts mailing list -- time-nuts@lists.febo.com > > > To unsubscribe, go to > > > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > > > and follow the instructions there. > > > > > _______________________________________________ > > time-nuts mailing list -- time-nuts@lists.febo.com > > To unsubscribe, go to > > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > > and follow the instructions there. _______________________________________________ time-nuts mailing list -- time-nuts@lists.febo.com To unsubscribe, go to http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com and follow the instructions there.