Data-Driven Multiple Resonant Filter Design Integrating Notch Filters and Peak Filters in Dual-Stage Actuator Hard Disk Drives

Magnetic-head positioning performance of hard disk drives in data center infrastructures is fundamental to the large storage capacity. The aim of this paper is to develop a feedback controller design method for hard disk drives integrating robust stabilization and disturbance rejection simultaneously. Notch filters for resonant mode stabilization and peak filters for disturbance rejection are designed simultaneously by resonant filters in the same structure. Multiple resonant filters are designed by frequency response data-driven iterative convex optimization for robust stabilization and disturbance rejection at the same time. The disturbance rejection performance improvement with robust stability is validated in a dual-stage actuator hard disk drive benchmark problem.

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Published
2025-02-28
DOI
https://doi.org/10.1109/icm62621.2025.10934774
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Data-Driven Multiple Resonant Filter Design Integrating Notch Filters and Peak Filters in Dual-Stage Actuator Hard Disk Drives

Masahiro Mae
1 citations
Iterative Learning Control Systems
1.21
article

Data-Driven Multiple Resonant Filter Design Integrating Notch Filters and Peak Filters in Dual-Stage Actuator Hard Disk Drives

Masahiro Mae
article en
1 citations

Abstract

Magnetic-head positioning performance of hard disk drives in data center infrastructures is fundamental to the large storage capacity. The aim of this paper is to develop a feedback controller design method for hard disk drives integrating robust stabilization and disturbance rejection simultaneously. Notch filters for resonant mode stabilization and peak filters for disturbance rejection are designed simultaneously by resonant filters in the same structure. Multiple resonant filters are designed by frequency response data-driven iterative convex optimization for robust stabilization and disturbance rejection at the same time. The disturbance rejection performance improvement with robust stability is validated in a dual-stage actuator hard disk drive benchmark problem.

Tokyo University of Information Sciences (JP), The University of Tokyo (JP)
Affordable and clean energy
Openalex Percentile: Top 23%
Iterative Learning Control Systems
1.21
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Data-Driven Multiple Resonant Filter Design Integrating Notch Filters and Peak Filters in Dual-Stage Actuator Hard Disk Drives — Masahiro Mae · (2025) | TGRS Research Map | TGRS