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TECHNICAL PAPERS

Adaptive Forced Balancing for Multivariable Systems

[+] Author and Article Information
S. Beale

Brooks Automation, Elizabeth Drive, Chelmsford, MA 01824

B. Shafai

Department of Electrical and Computer Engineering, Northeastern University, 360 Huntington Avenue, Boston, MA 02215

P. LaRocca, E. Cusson

The Charles Stark Draper Laboratory, Inc., 555 Technology Square, Cambridge, MA 02139

J. Dyn. Sys., Meas., Control 117(4), 496-502 (Dec 01, 1995) (7 pages) doi:10.1115/1.2801106 History: Received November 25, 1992; Revised May 12, 1994; Online December 03, 2007

Abstract

Active magnetic bearing (AMB) actuators support rotors without friction but require feedback control for stabilization and performance. Autobalancing compensation causes AMBs to spin a rotor about its inertial axis to eliminate synchronous force transmission from mass unbalance. Because mass unbalance constitutes a sinusoidal sensor disturbance within the bandwidth, conventional methods can either cause instability or fail to preserve desired bandwidth. We introduce a new method called adaptive forced balancing (AFB) which overcomes these problems. We consider AFB with a frequency tracking capability for SISO systems (i.e., single-end AMB suspensions) and show how to extend it for the MIMO case as applied to a double-end AMB suspension.

Copyright © 1995 by The American Society of Mechanical Engineers
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