Disk drive pivot nonlinearity modeling and compensation through fuzzy logic

Author

Huang, T. ; Ding, Y. ; Weerasooriya, S. ; Low, T.S.

Author_Institution

Data Storage Inst., Singapore

Volume

34

Issue

1

fYear

1998

fDate

1/1/1998 12:00:00 AM

Firstpage

30

Lastpage

35

Abstract

The pivot nonlinearity of a disk drive actuator is a complex phenomenon. Various models and compensation schemes were designed to cope with the nonlinearity. In this paper, a fuzzy logic based actuator pivot nonlinearity model is proposed. The fuzzy model can learn the dynamics of the actuator pivot nonlinearity by training with measured data. After the fuzzy model is trained, it can be augmented into a servo controller design as a disturbance observer to cancel the effects of the pivot nonlinearity. The fuzzy model, its modeling performance and a laboratory implementation to demonstrate its effectiveness in pivot nonlinearity compensation are presented

Keywords

actuators; compensation; fuzzy logic; magnetic disc storage; servomechanisms; actuator dynamics; compensation; data training; disk drive; disturbance observer; fuzzy logic model; pivot nonlinearity; servo controller design; Actuators; Disk drives; Force feedback; Frequency; Friction; Fuzzy logic; Integrated circuit modeling; Neural networks; Servomechanisms; Tracking loops;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.663431

Filename

663431