Carl Mikkelsen
I've had what seems like good success calibrating a home-brew parallel robot.
toggle quoted message
Show quoted text
The general method is: 1) add a bunch of error variables into your kinematics equations to represent the major error contributors. This are typically the x, y, &z positions of the base and platform joints, the minimum leg length (at "0" position reference), and possible the actuator scale error. 2) move the platform to a series of known orientations, including all 6 axes being varied. I'll do something like a gird measuring every 6 to 12 inches, with Pitch, Roll, and Yaw at -30, 0, +30 for many of the points. 3) use simulated annealing to adjust (hill climb) the error variables for the closest fit. 4) look for measurements whose final error falls 3 standard deviations away from the mean, and either remeasure those points or discard them from the data set. 5) repeat steps 3 & 4 as necessary until the process converges. Steps 4 & 5 are necessary only if you (as I do) sometimes mess up the measurements. -- Carl At 01:20 PM 8/29/2006, Anders Wallin wrote:
did you check out |