文章基本信息

标题：Boring Bar Chatter Control using Feedback Filtered-x Normalized Least Mean Square Algorithm
本地全文：下载
作者：Mohsen Fallah ; Behnam Moetakef-Imani ; Ali Hosseini 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：10
页码：358-363
DOI：10.1016/j.ifacol.2019.10.057
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with the adaptive control of chatter vibrations in boring operations. A novel feedback control method is suggested based upon the well-known filtered-x normalized least mean square (FxNLMS) algorithm. The proposed feedback controller is implemented on the developed active boring bar that is equipped with electrodynamic shaker and accelerometer. The adaptive digital control algorithm utilizes two finite impulse response (FIR) filters in order to efficiently drive the electromagnetic actuator and successfully minimize the mean square of the chatter vibrations. Feasibility of the proposed control algorithm is verified for boring of Aluminum alloy 6063-T6. The performance of feedback FxNLMS controller is compared with the constant-gain direct velocity feedback (DVF) controller. It is observed that both control algorithms attenuate the chatter by more than 70 dB. In addition, the actuator cost is reduced by 50 percent for the optimally tuned adaptive digital controller. As a result, the proposed adaptive controller provides a robust and efficient solution for chatter suppression.
关键词：KeywordsChatterSignal processingModel-based controlAdaptive digital filtersNLMS algorithm