Experimental Results of Adaptive Periodic Disturbance Cancellation in a High Performance Magnetic Disk Drive

[+] Author and Article Information
Alexei Sacks, Marc Bodson, Pradeep Khosla

Data Storage Systems Center, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213-3890

J. Dyn. Sys., Meas., Control 118(3), 416-424 (Sep 01, 1996) (9 pages) doi:10.1115/1.2801161 History: Received April 27, 1993; Revised February 08, 1995; Online December 03, 2007


This paper considers the implementation of an adaptive algorithm for periodic disturbance cancellation. It is shown that the maximum rate of adaptation can be calculated precisely based on measurements of the system’s frequency response. The response of the closed-loop system to additional disturbances can also be computed on that basis. The results are verified experimentally on a high track density magnetic disk drive. Excellent matching between the theoretical and experimental results is observed. An improved method is also proposed that leads to faster convergence of the adaptive algorithm and better disturbance rejection capabilities. The results of this paper significantly enhance the ability of the control engineer to design and analyze adaptive feedforward algorithms for a variety of applications where periodic disturbances are encountered.

Copyright © 1996 by The American Society of Mechanical Engineers
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