DocumentCode
3292329
Title
Data based modeling and control of a dual-stage actuator hard disk drive
Author
Boettcher, Uwe ; De Callafon, Raymond A. ; Talke, Frank E.
Author_Institution
Center for Magn. Recording Res., Univ. of California, San Diego, CA, USA
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
8316
Lastpage
8321
Abstract
A data-based approach is presented for modeling and controller design of a dual-stage servo actuator in a hard disk drive. The servo actuator in this hard disk drive consists of a conventional voice coil motor and a piezo-electrically actuated suspension. A weighted Hankel matrix based realization algorithm that uses frequency domain data is applied to estimate a discrete-time model of the voice coil motor and the piezoelectric actuator. Based on the discrete-time models, different dual-stage track-following controllers were designed using classic and H¿ loop shaping techniques. The controllers were implemented in real-time in the investigated hard disk drive. A stable feedback control and good agreement between measurement and simulated results show the promising result of data based modeling and control.
Keywords
H¿ control; Hankel matrices; control system synthesis; disc drives; discrete time systems; feedback; frequency-domain analysis; hard discs; piezoelectric actuators; servomechanisms; H¿ loop shaping techniques; controller design; data based modeling; discrete-time models; dual-stage servoactuator hard disk drive; dual-stage track-following controller design; frequency domain data; piezoelectric actuator; piezoelectrically actuated suspension; realization algorithm; voice coil motor; weighted Hankel matrix; Coils; Feedback control; Frequency domain analysis; Frequency estimation; Hard disks; Piezoelectric actuators; Servomechanisms; Servomotors; Shape control; Tracking loops;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5399480
Filename
5399480
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