基于开放式控制器的铣削颤振在线抑制  

Online Milling Chatter Suppression Based on Open Architecture Controller

作　　者：李茂月[1,2] 韩振宇[1] 富宏亚[1] 徐雳[2] 

机构地区：[1]哈尔滨工业大学机电工程学院,哈尔滨150001 [2]哈尔滨理工大学机械动力工程学院,哈尔滨150080

出　　处：《机械工程学报》2012年第17期172-182,共11页Journal of Mechanical Engineering

基　　金：国家科技重大专项资助项目(2009ZX04002-051)

摘　　要：为实现在线抑制铣削颤振,对颤振领域常用的传感器监控技术,尤其是三向切削力和振动加速度传感器的各向分量在颤振监控过程中的时域和频域敏感信号特征进行试验研究。针对监控的颤振敏感信号频域特性,研究快速傅里叶变换技术对信号有效信息的在线提取技术。对自激颤振的机理进行分析,建立颤振频率与主轴转速间的关系模型,为实现变主轴转速抑制自激颤振提供理论基础。对集成在线参数采集、反馈控制的全软件型模块化铣削控制器进行设计,将在线抑制颤振的相关变主轴转速算法嵌入开放式控制器中,并设计控制参数数据流在控制器模块间的实现流程。对连续变切削深度铝合金工件进行在线颤振抑制加工试验,试验验证开放式智能铣削控制器在线抑制颤振相关技术的正确性。To realize online milling chatter suppression,general sensor monitoring technologies are investigated in the field of chatter monitor.The time domain and frequency domain sensitive signals are studied including each component in three-component cutting force and acceleration sensors by experiment.Aimed at the monitored chatter sensitive signal frequency characteristics,the techniques about the online extraction of effective information are studied with fast Fourier transform technique.The relationship model is set up between chatter frequency and spindle speed on the basis of the analysis of self-excited vibration mechanism,which provides the theoretical foundation to realize self-excited vibration suppression with variable spindle speed.A software type modular milling controller is designed integrated on the functions of online parameters acquisition and feedback control.Relative variable spindle speed algorithm to suppress the chatter is embedded in the open architecture controller,and the realization flowcharts for the control parameters data flow are also designed among the controller modules.On-line chatter suppression experiments are completed with continuous variable cutting depth aluminum alloy work-piece,and the experiments verify the correctness of the related technologies about on-line chatter suppression in the open architecture intelligent milling controller.

关 键 词：颤振抑制 在线 变主轴转速 开放式控制器 铣削 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]