Abstract
This letter presents a method to model the disturbance environment of a dual-stage hard disk drive (HDD), which is then used to predict the actuator stroke usage (i.e., the range of actuator displacement used) of a closed-loop track-following controller. In particular, a data-driven disturbance modeling approach is proposed and the stochastic interpretation of the H2 norm is used to systematically estimate the micro-actuator (PZT) stroke usage of the HDD controller. Upper- and lower-bound models of the frequency response of the external disturbance environment are used to provide a range of possible stroke usage, which involves a data-driven calibration process. The accuracy of the prediction model is validated in experiments with a controller that differs from the controllers in the calibration data set.
| Original language | English (US) |
|---|---|
| Article number | 041003 |
| Journal | ASME Letters in Dynamic Systems and Control |
| Volume | 2 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 2022 |
Bibliographical note
Publisher Copyright:Copyright © 2022 by ASME.
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This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- hard disk drive control
- identification
- modeling
- optimal control
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