Structure Parameter Identification of Articulated Arm Coordinate Measuring Machines Based on the Least Squares Method

Autor: Guanbin Gao, Hui Ping Yang, Jian Lu
Rok vydání: 2013
Předmět:
Zdroj: Applied Mechanics and Materials. :638-641
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.303-306.638
Popis: The AACMM is a kind of new coordinate measuring instrument based on non-Cartesian system. The errors of structure parameters are the main factors which affect the measuring accuracy, and the structural parameters identification can effectively improve the measuring accuracy of AACMM. The measuring model of an AACMM was established using the D-H method. Then the error model of the AACMM was established with total differential transforming method, from which the Jacobian matrix was obtained. The structure parameters’ errors which need to be identified through singular value decomposition of Jacobian matrix and the decomposition of orthogonal matrix elementary row transform can be determined. Finally, the least squares method was used in identifying the structure parameters’ errors of the AACMM, the results shows that the method proposed in this paper can identify the structure parameters efficiently.
Databáze: OpenAIRE