模糊控制理论在铣刀磨损监控中的应用  

The Application of Fuzzy Control Theory in Monitoring of Milling Cutter Wear

作　　者：马建峰[1] 王信义[1] 郑军[1] 唐伏良[1] 

机构地区：[1]北京理工大学机械工程与自动化学院,北京100081

出　　处：《北京理工大学学报》2001年第3期296-299,共4页Transactions of Beijing Institute of Technology

基　　金：部级基金资助项目

摘　　要：研究一种铣刀磨损监控方法。信号采集采用声发射传感器 ,信号特征生成采用小波变换方法 ,将变换后的尺度系数和各个频段的小波系数作为特征 ;采用自行设计的Sugeno模糊控制系统进行状态识别 ,模糊控制系统的输出是刀具磨损值 ,有利于对刀具磨损进行各种实时补偿。实验表明 ,模糊控制作为刀具磨损状态识别的方法 。A method of monitoring the wear of milling cutters is developed. An acoustic emission sensor is used for signal acquisition. Wavelet transform is used for signal feature extraction and the features are the scaling coefficient and the wavelet coefficients of AE signal. Sugeno fuzzy controller is adopted to recognize the features above corresponding to different amounts of tool wear, and the output of the controller is the tool wear (in mm). This makes the various real time compensations for the tool wear more convenient. Experiments show that Sugeno fuzzy controller can assess the tool wear both reliably and efficiently.

关 键 词：铣刀磨损 小波分析 模糊控制器 模式识别 声发射 实时在线监控 

分 类 号：TG54[金属学及工艺—金属切削加工及机床] TP273[自动化与计算机技术—检测技术与自动化装置]