Optimization algorithms and application in milling machine

About the calibration of milling machine geometrical parameters, firstly, this paper introduces the principle of pose matching and two optimization algorithms: nonlinear optimization procedure and iterative linearization of the equations, which are used respectively to calibrate the geometrical parameters of a milling machine. Both of the optimization algorithms can reduce the machine pose error to about 1/6 of initial values. Based on analyzing the elements affecting the position error, the algorithms eliminate the parameters those are non-sensitive to position accuracy and whose effects are indistinguishable to others, and repeating the calibration process. The simulation results show that calibration effect is not quite different from the algorithms obtained with the complete parameter set. In some cases, the latter is even better than the former. So it is feasible to calibrate the machine substituting the complete parameter set with reduced set, with an improved accuracy.