AFC with Initial Value Compensation for High Precision Positioning for Track-Seek Control in HDDs

In this paper, we proposed an adaptive feed-forward cancellation (AFC) with initial value compensation to improve performance of the magnetic head positioning system of hard disk drives (HDDs). In the track seek control in HDDs, the magnetic head moves from current position to target position. After completion of the movement, the magnetic head should be tracking the target signal as soon as possible. The proposed method can compensate for repeatable run-out called RRO in target signal immediately. The RRO can be observed as fundamental wave and harmonics in the head positioning system. The proposed method can set optimal initial values for every frequency component. In addition, the control system with the proposed method can provide adequate control scheme for different types of RRO known as synchronous RRO, and asynchronous RRO. The effectiveness has been verified in HDD benchmark problem for track-seek control in HDDs.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.10.175
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AFC with Initial Value Compensation for High Precision Positioning for Track-Seek Control in HDDs

Atushi Okuyama, Takenori Atsumi, Shota Yabui
IFAC-PapersOnLine
Iterative Learning Control Systems
article

AFC with Initial Value Compensation for High Precision Positioning for Track-Seek Control in HDDs

Atushi Okuyama, Takenori Atsumi, Shota Yabui
article en

Abstract

In this paper, we proposed an adaptive feed-forward cancellation (AFC) with initial value compensation to improve performance of the magnetic head positioning system of hard disk drives (HDDs). In the track seek control in HDDs, the magnetic head moves from current position to target position. After completion of the movement, the magnetic head should be tracking the target signal as soon as possible. The proposed method can compensate for repeatable run-out called RRO in target signal immediately. The RRO can be observed as fundamental wave and harmonics in the head positioning system. The proposed method can set optimal initial values for every frequency component. In addition, the control system with the proposed method can provide adequate control scheme for different types of RRO known as synchronous RRO, and asynchronous RRO. The effectiveness has been verified in HDD benchmark problem for track-seek control in HDDs.

IFAC-PapersOnLineVol. 59(17)
Tokai University (JP), Tokyo City University (JP), Chiba Institute of Technology (JP)
Openalex Percentile: Top 59%
Iterative Learning Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.