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Adaptive Control of Acoustic Waves in Flexible Structure

[+] Author Affiliations
Chunhua Ji, Robert X. Gao, Zhaoyan Fan

University of Connecticut, Storrs, CT

Kenneth Liang, Jahir Pabon

Schlumberger-Doll Research Center, Cambridge, MA

Paper No. DSCC2013-3931, pp. V001T15A008; 7 pages
doi:10.1115/DSCC2013-3931
From:
  • ASME 2013 Dynamic Systems and Control Conference
  • Volume 1: Aerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologically-Inspired Control and its Applications; Bio-Medical and Bio-Mechanical Systems; Biomedical Robots and Rehab; Bipeds and Locomotion; Control Design Methods for Adv. Powertrain Systems and Components; Control of Adv. Combustion Engines, Building Energy Systems, Mechanical Systems; Control, Monitoring, and Energy Harvesting of Vibratory Systems
  • Palo Alto, California, USA, October 21–23, 2013
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5612-3
  • Copyright © 2013 by ASME

abstract

An active cascading control method for suppressing acoustic waves propagating along a flexible structure is proposed, developed, and experimentally evaluated on a hanging steel beam. To ensure satisfactory performance, multiple control points are set up along the wave propagation path. A coupled feed forward control algorithm was developed to suppress both the head wave from the transmitter and the coupling waves from the wave-cancelling actuators. An equation error adaptive system identification approach was taken to extract system dynamics and avoid mode uncertainty/truncation under high frequencies. To determine the optimal controller weights and minimize wave energy, an NLMS adaptive algorithm was realized, based on the obtained models. An experimental setup, composed of a steel beam as the wave propagation medium and five cascading control stations, was developed. Experimental results have shown that, under both wide and narrow bandwidth conditions, wave energy suppression of over 98.7% has been achieved.

Copyright © 2013 by ASME

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