Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMAG.2006.890242
Title: Nonrepeatable run-out rejection using online iterative control for high-density data storage
Authors: Pang, C.K. 
Wong, W.E.
Guo, G. 
Chen, B.M. 
Lee, T.H. 
Keywords: Hard disk drives
Iterative control
NRRO
PES
Self servotrack writing (SSW)
Servo track writing (STW)
Issue Date: May-2007
Source: Pang, C.K., Wong, W.E., Guo, G., Chen, B.M., Lee, T.H. (2007-05). Nonrepeatable run-out rejection using online iterative control for high-density data storage. IEEE Transactions on Magnetics 43 (5) : 2029-2036. ScholarBank@NUS Repository. https://doi.org/10.1109/TMAG.2006.890242
Abstract: The spectra of disturbances and noises affecting precise servo positioning for ultrahigh-density storage in future hard disk drives are time-varying and remain unknown. In this paper, we propose an online iterative control algorithm that sets the measured position error signal (PES) into the servo system to achieve high track densities by minimizing the square of the H2-norm of the transfer function from nonrepeatable run-out (NRRO) disturbances to the true PES. It is not necessary to solve any algebraic Riccati equations and linear matrix inequalities. The algorithm constructs an online repeatable run-out estimator to extract NRRO components for gradient estimates, thereby preventing the controller parameters from being trapped in a local minima. Experimental results on a PC-based servo system for a spinstand show an improvement of 22% in 3σ NRRO and suppression of baseline NRRO spectrum. © 2007 IEEE.
Source Title: IEEE Transactions on Magnetics
URI: http://scholarbank.nus.edu.sg/handle/10635/82776
ISSN: 00189464
DOI: 10.1109/TMAG.2006.890242
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