Active Control of Boring Bar Vibrations Using the Leaky Feedback Filtered X-LMS

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Linus Andrén, Lars Håkansson, Ingvar Claesson
Title: Active Control of Boring Bar Vibrations Using the Leaky Feedback Filtered X-LMS
Conference name: Mechatronics and Machine Vision In Practice
Year: 2003
Pagination: 377-384
ISBN: 0-86380-290-7
Publisher: Research Studies Press Ltd.
City: Perth, Australia
Organization: Blekinge Institute of Technology
Department: Department of Telecommunications and Signal Processing (Institutionen för telekommunikation och signalbehandling)
Department of Telecommunications and Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Authors e-mail: lar@bth.se, lha@bth.se, icl@bth.se
Language: English
Abstract: The boring operation is a cumbersome manufacturing process marred by noise and vibration related problems. The manufacturing industry is having trouble with these kinds of metal cutting operations. There exist several approaches to reduce the vibrations in cutting operations in general. Passive tuned dampers in boring bars have been commercially available for some time. An active solution is likely to be more robust to changes in the spectral content, where the passive counterpart have a small operable area, the active solution is able to adapt to these kinds of changes. Active vibration control in boring operations has been proven to be feasible. The algorithm used in the successful experiments was the feedback filtered X-LMS algorithm. This algorithm does however not guarantee a stable behavior, but incorporating a leakage factor will make the algorithm more robust. Power spectral density of boring bar vibration of real cutting experiments show that the leaky filtered X-LMS algorithm is a possible candidate to be a suitable control algorithm. Nyquist diagrams of the controller during operation show that the stability is increased significantly.
Subject: Signal Processing\Active Noise and Vibration Control
Keywords: Active control, boring operation, leaky feedback filtered X LMS
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