Active disturbance rejection for precise positioning of dual-stage hard disk drives
Mohammad Amin Dashti, Ali Chaibakhsh

TL;DR
This paper introduces an adaptive control method using recursive least squares to effectively reject external disturbances in dual-stage hard disk drives, enhancing positioning accuracy during track-seeking.
Contribution
It applies an RLS-based adaptive control algorithm to dual-stage HDDs, improving disturbance rejection and precise positioning, which is a novel approach in this context.
Findings
Successful disturbance rejection demonstrated in simulations
Enhanced tracking accuracy during track-seeking
Feasibility of the adaptive control approach confirmed
Abstract
This paper presents an application of adaptive control algorithm in order to reject the external disturbances in dual-stage hard disk drives. For this purpose, a dual PID controller is first designed without the plant exposure to external disturbances. Then, an adaptive control approach based on recursive least squares adaptive (RLS) algorithm was employed to identify and reject disturbances. The performance of the proposed technique was evaluated for hard disk track-seeking through simulation experiments. Results show the feasibility and precise tracking of the designed control system.
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 · Control Systems in Engineering
