机构地区: 西北工业大学机电学院现代设计与集成制造技术教育部重点实验室
出 处: 《机械强度》 2010年第6期953-960,共8页
摘 要: 根据车削过程中工件直径误差的特点,采用基于递推最小二乘算法的模糊系统,预测车削过程中由弹性变形等因素引起的工件直径误差,通过递推最小二乘算法训练Mamdani型模糊系统,以确定合理的系统参数。根据工件直径误差与切削深度、进给量等的关系,设计车削实验,得到训练数据和测试数据,用训练数据训练模糊系统,进而用测试数据测试,误差较小,从而验证在一定的工件结构和工况条件下,用基于递推最小二乘算法的Mamdani型模糊系统进行车削工件直径误差预测的可行性。与回归分析进行比较,结果显示在一定的工件结构和工况条件下,基于递推最小二乘算法的Mamdani型模糊系统对于预测车削工件直径误差有比较明显的效果。 According to the characteristics of diameter error of workpiece in turning process,fuzzy system based on recursive least square algorithm was used to predicate diameter error of workpiece caused by elastic deformation.Mamdani fuzzy system was trained by recursive least square algorithm and the reasonable parameters of the system were determined.Based on the relationship between diameter error of workpiece and cutting parameters such as depth of cut,feed,etc.,turning experiment was designed to obtain the ori...
关 键 词: 工件直径误差 递推最小二乘算法 弹性变形 型模糊系统
领 域: [金属学及工艺]