On 9/20/19 8:51 PM, Keith Packard wrote: > Jesse Frey <[email protected]> writes: > >> Ok, that makes some sense. Is there a way to know how long to expect the >> lag to be? Or do I just launch it and see how long it took? > > There's no easy way to compute what the delay will be; the Kalman filter > is somewhat hard to understand in that way. >
This Kalman filter uses a system model that assumes that acceleration is constant. Warp 9 motors diverge from that assumption a lot so filter performance is not at its best. (It works best near apogee.) Motor burnout detection is probably best done with unfiltered acceleration data. Either that or adjust the Kalman gains to reduce the smoothing of acceleration data. For a really noisy sensor this could be a tricky trade off. -- https://web.archive.org/web/20190214181851/http://home.earthlink.net/~david.schultz/ (Web pages available only at the Wayback Machine because Earthlink terminated that service.) _______________________________________________ altusmetrum mailing list [email protected] http://lists.gag.com/mailman/listinfo/altusmetrum
