DSP Implementation of a Direct Adaptive Feedfoward Control Algorithm for Rejecting Repeatable Runout in Hard Disk Drives
Jinwen Pan, Prateek Shah, Roberto Horowitz

TL;DR
This paper presents a DSP-based adaptive feedforward control algorithm for effectively rejecting repeatable runout in hard disk drives, combining system parameter estimation with real-time RRO compensation.
Contribution
The paper introduces a novel direct adaptive control method that estimates system parameters and RRO simultaneously, with an improved version reducing computational complexity.
Findings
Successful MATLAB simulation results demonstrate effectiveness.
DSP implementation confirms real-time applicability.
Significant reduction in RRO in HDDs achieved.
Abstract
A direct adaptive feedforward control method for tracking repeatable runout (RRO) in bit patterned media recording (BPMR) hard disk drives (HDD) is proposed. The technique estimates the system parameters and the residual RRO simultaneously and constructs a feedforward signal based on a known regressor. An improved version of the proposed algorithm to avoid matrix inversion and reduce computation complexity is given. Results for both MATLAB simulation and digital signal processor (DSP) implementation are provided to verify the effectiveness of the proposed algorithm.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIterative Learning Control Systems · Tribology and Lubrication Engineering · Adhesion, Friction, and Surface Interactions
