Selection and modeling of temperature variables for the thermal error compensation in servo system

摘要：

In order to compensate the thermal error of the coordinate measuring machine accurately, selecting the thermal key points for building the error model is important. A method based on the multivariable statistics analysis was described in the thermal error compensation process of servo system. The measurement points are selected based on the cluster analysis theory and the optimal regression model which are given by stepwise regression. The compensation model is made for servo system. We use PT100 platinum resistance to measuring the thermal change of the selected points for building the model. The result shows that, the methods not only avoid the correlation of the measurement points and nsure the accuracy of the model, but also save the time and cost. According to this conclusion, it is useful to decreasing and restraining the thermal errors, and to present a clearer and deeper knowledge of selection strategy of the thermal points.

关键词： Servo System thermal error modeling and compensation cluster analysis regression analysis

作者: Chen Cheng Zhang Chenyang Chen Hong

作者单位: School of Mechanical Engineering,Tianjin University of Commerce,Tianjin 300134,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 569-572

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）