柔性坐标测量机空间误差模型研究

Research on Spatial Error Model of Flexible Coordinate Measuring Machine

为了进一步提高柔性坐标测量机的测量精度,针对基于D-H方法的误差模型设计缺陷,提出基于泛函网络的空间误差模型设计方法。在介绍目前国内外常用D-H测量模型和误差模型的基础上,详细给出柔性坐标测量机泛函网络拓扑结构的设计过程,讨论基函数的选择问题,研究泛函网络的逼近算法,并通过800mm标准量块进行标定试验。精度测试结果表明,基于泛函网络方法建立的误差模型所得出的800mm量块长度测量误差远远低于基于D-H方法建立的误差模型测量误差,从而验证误差模型及逼近算法的有效性。

To improve flexible coordinate measuring machine（FCMM） measurement precision,the design method of spatial error model is put forward based on functional networks owing to the error model limitations from the D-H method.The measurement model and the error model commonly used at home and abroad presently are introduced.The design process of functional network topology structure is presented detailedly.How to choose primary function is discussed.The approximate algorithm is researched,and the calibration experiment is performed by using 800 mm criterion gauges.The precision measurement results show that 800 mm gauge length measuring error from the model based on the functional network is far lower than those from the D-H method.It validates the new error model and the approximate algorithm.