沈阳工业大学学报2011，Vol.33Issue(5)：524-530,7.
基于灰色模糊聚类和LS-SVM加工中心的热误差补偿模型
Compensation model for thermal error of machining center based on gray-fuzzy clustering and LS-SVM
摘要
Abstract
In order to realize the compensation for the thermal error of numerical control（NC） machine tool,a gray-fuzzy clustering algorithm based on synthetic grey correlation and an optimum modeling method for the thermal error element of NC machine tool with least squares support vector machine（LS-SVM） were proposed.Through calculating the synthetic grey correlation between the temperature measuring points and thermal error data,a gray similar matrix was determined in the proposed method.With the maximum tree method,a hierarchical diagram based on clustering results with different levels was obtained,and thus,the key temperature measuring points were determined.Then the compensation model for the thermal error of NC machine tool was established with a LS-SVM method.The MDV-55 vertical precision machining center was taken as the experimental object to perform the modeling and compensation.The result shows that the proposed method can not only reduce the number of temperature sensors,but also improve the machining accuracy of the NC machine tool obviously.关键词
灰色模糊聚类/最小二乘支持向量机/数控机床/加工中心/热误差/测温点优化/建模/误差补偿Key words
gray-fuzzy clustering/least squares support vector machine（LS-SVM）/numerical control（NC） machine tool/machining center/thermal error/optimization of temperature measuring point/modeling/error compensation分类
机械制造引用本文复制引用
苏铁明,叶三排,孙伟,马跃..基于灰色模糊聚类和LS-SVM加工中心的热误差补偿模型[J].沈阳工业大学学报,2011,33(5):524-530,7.基金项目
“高档数控机床与基础制造装备”科技重大专项资助项目 （）
