Abstract The geometric error of long-stroke five-axis machine tools will greatly affect the machining accuracy, which needs to be identified and compensated. This paper proposed a method based on screw theory to identify Position independent geometric errors (PIGEs) and present a method to analyze the sensitivity of each twist error vector. Compared with the model base on homogeneous transformation matrices (HTMs), the screw theory-based kinematic model avoids the local frame and the singularity problem. This paper also refines the algorithm by adding constraints to improve the identification accuracy. The proposed error identification method is verified through simulation and experiment with Etalon Laser Tracer on a five-axis machine tool.
Liu et al. (Fri,) studied this question.