Adaptive Feedback Control of Machine-Tool Vibration based on The Filtered-x LMS Algorithm

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Lars Håkansson, Ingvar Claesson, Per-Olof Sturesson
Title: Adaptive Feedback Control of Machine-Tool Vibration based on The Filtered-x LMS Algorithm
Journal: International Journal of Low Frequency Noise, Vibration and Active Control
Year: 1998
Volume: 17
Issue: 4
Pagination: 199-213
ISSN: 0263-0923
Organization: Blekinge Institute of Technology
Department: Dept. of Signal Processing (Institutionen för signalbehandling)
Dept. of Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Authors e-mail: lha@bth.se, icl@bth.se
Language: English
Abstract: Adaptive feedback
control of tool vibrations during metal cutting
in a lathe has been investigated. The vibrations were controlled in the
primary cutting direction and the control is based on
the filtered-x LMS-algorithm. It was found
that the adaptive feedback control can achieve a reduction of the tool
vibrations with up to 35 dB at 1.7 kHz and simultaneously with approximately
30 dB at 3.1 kHz. A significant improvement of the workpiece
surface was experienced together with a substantial reduction of the
acoustic noise level with adaptive feedback control. Tool life is
also expected to be extended and the material removal rate can
probably be increased.
Subject: Signal Processing\Active Noise and Vibration Control
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