摘要
在关节式坐标测量机动态误差对测量机的精度优化的研究中,由于动态误差因素较多,很难建立统一的数学模型。为了有效的对关节式坐标测量机动态误差进行预测与补偿,采用了误差分离的方法,重点研究了圆光栅角度编码器、热形变对测量机测量精度的影响。同时为了解决小样本下获得最优解的问题,采用了nu-SVM回归算法建立动态误差补偿模型。通过仿真对空间测试点进行动态误差补偿后,单点重复性精度提高了50%左右,长度测量精度提高了40%左右,进而证明改进算法的可行性与有效性。
The influence of dynamic error of the articulated coordinate measuring machine on the accuracy of the measuring machine is studied. Because of the dynamic error caused by many factors, it is difficult to establish a unified mathematical model. For effectively predicting and compensating the dynamic error of articulated coordinate measuring machine, the method called error separation is used to study the influences of circular grating angle encoder and thermal deformation on measuring machine＇s measurement accuracy. In order to avoid the limitations of the existing single error compensation model and complexity, the nu-SVM regression algorithm is adopted to establish the dynamic error compensation model. Through the simulation of space test point for dynamic error compensation, the sin- gle point repeatability precision is increased by about 50%, and measuring length precision is increased by about 40%. It can be concluded that the proposed nu-SVM can improve the accuracy and obtain better compensation results.
出处
《计算机仿真》
CSCD
北大核心
2016年第7期318-322,共5页
Computer Simulation
基金
长江学者和创新团队发展计划资助(IRT1212)
国家自然科学基金(51075038
51375057)
北京市教委面上项目(KM201411232004)
国家重大科学仪器设备开发专项(2013YQ22089304)
关键词
关节式坐标测量机
支持向量机
动态误差
误差补偿
Articulated coordinate measuring machine
Support vector machine （ SVM ）
Dynamic error
Error compensation
