Novel Schemes for Repeatable Runout Compensation Using Adaptive Feedforward Cancellation

Author

Wu, Shang-Chen ; Tomizuka, Masayoshi

Author_Institution

Univ. of California, Berkeley

fYear

2007

fDate

9-13 July 2007

Firstpage

43

Lastpage

48

Abstract

In this paper, new methods to estimate repeatable runout (RRO) in hard disk drives are proposed. The techniques are based on adaptive feedforward cancellation (AFC). To enhance the performance, the modified filtered-X LMS (MFX-LMS) adaptive algorithm is combined with Kalman filtering. The estimated data are used in real-time control to generate the compensation signal which cancels RRO disturbances. Simulation results show the effectiveness of the proposed schemes and the resulting reduction of position errors in the track following mode.

Keywords

Kalman filters; disc drives; feedforward; hard discs; least mean squares methods; Kalman filtering; adaptive feedforward cancellation; filtered-X LMS adaptive algorithm; hard disk drives; performance enhancement; position error reduction; real-time control; repeatable runout compensation; repeatable runout estimation; Adaptive algorithm; Adaptive filters; Automatic frequency control; Cities and towns; Disk drives; Frequency estimation; Hard disks; Rail to rail outputs; Servomechanisms; Tracking loops;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2007. ACC '07

Conference_Location

New York, NY

ISSN

0743-1619

Print_ISBN

1-4244-0988-8

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2007.4282980

Filename

4282980