@hercek So yesterday I had some time to tinker a bit with the printer and the maxima notebook you suggested. I modified m665 to get tower position corrections and store them to eeprom. But I still dont have z probe, so iterations are going slow.
Am I right that the process is iterative? You have to measure, feed the notebook with measured data, get new params, measure and start again?
Anyway, this has got me thinking about the problem of auto calibration in general, you just need to optimize your parameter vector to minimize z error across the build plate. And I was thinking about implementing it in firmware, so the printer gets in autocalibration mode and does the iteration to optimize the parameter vector. So, in fact, I was thinking about implementing the optimization with a genetic algorithm. As bad as the printer calibration can be, you start from a not so bad situation usually, and you just want to find a better point, the problem is that it is not intuitive what is the effect of each parameter change, and especially, the amount of change. Maybe an iterative optimization algorithm could find a good solution for itself. This would be very useful for people that cant get through the math to calibrate their printers, or people that have children like me and have no time ;-) What do you guys think?
But maybe, this should start to be talked about in a different topic.
Oh, and of course... thanks a lot for the resource, it was great!
Am I right that the process is iterative? You have to measure, feed the notebook with measured data, get new params, measure and start again?
Anyway, this has got me thinking about the problem of auto calibration in general, you just need to optimize your parameter vector to minimize z error across the build plate. And I was thinking about implementing it in firmware, so the printer gets in autocalibration mode and does the iteration to optimize the parameter vector. So, in fact, I was thinking about implementing the optimization with a genetic algorithm. As bad as the printer calibration can be, you start from a not so bad situation usually, and you just want to find a better point, the problem is that it is not intuitive what is the effect of each parameter change, and especially, the amount of change. Maybe an iterative optimization algorithm could find a good solution for itself. This would be very useful for people that cant get through the math to calibrate their printers, or people that have children like me and have no time ;-) What do you guys think?
But maybe, this should start to be talked about in a different topic.
Oh, and of course... thanks a lot for the resource, it was great!
