Decomposition of baseline noise sources in hard disk position error signals using the PES Pareto method

Abramovitch, Daniel Y.; Hurst, Terril N.; Henze, Dick

doi:10.1109/acc.1997.611988

Cited by 26 publications

(14 citation statements)

References 7 publications

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“…This example deals with noise suppression in reading and writing magnetic and optical data storage devices such as HDD, CD and DVD -the issue that has attracted many efforts in recent decades (see [28][29][30] and other publications).…”

Section: Example: Noise Suppression For Disk Recordingmentioning

confidence: 99%

Universal controllers in model matching optimal control problems for unknown external signals

Proskurnikov

Yakubovich

2012

J. Comput. Syst. Sci. Int.

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Linear quadratic model matching optimal control problems are studied for unknown external signals and noise in the control plant. Given natural assumptions for two practically signifi cant classes of external signals (stochastic with an unknown, rapidly decreasing spectral density and polyharmonic with the known spectrum and unknown amplitudes), controllers universal in the sense that they generate an optimal or approximately optimal process in the problem for any signal from the stated class are proved to exist. Linear controllers are shown to exist among them, with the class of lin ear universal controllers described exhaustively.

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Section: Example: Noise Suppression For Disk Recordingmentioning

confidence: 99%

Universal controllers in model matching optimal control problems for unknown external signals

Proskurnikov

Yakubovich

2012

J. Comput. Syst. Sci. Int.

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“…Suppose that a particular written-in error component at frequency falls into that range, the measured error signal is (3) Defining as the compensation factor for the error component at frequency , we have the following formulation: (4) where is called the error compound coefficient. From (1) and (4), we have (5) When we sum up (5) in all tracks, we have (6) where and are, respectively, the values of closed-loop transfer function and sensitivity function at frequency . Due to the incoherence nature of noise and disturbances in each track, the value of the last two accumulated items is limited.…”

Section: Error Containmentmentioning

confidence: 99%

“…The noise and disturbances and their impact on HDD servo loop are elaborated by Abramovitch et al [6], Ho [7] and Du et al [9]. For a simplified HDD servo loop as in Fig.…”

Section: Basic Conceptmentioning

confidence: 99%

Radial error propagation issues in self-servo track writing technology

Ye¹,

Sng²,

et al. 2002

IEEE Trans. Magn.

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Conventional servo track writing needs external devices to position heads in hard disk drives to write servo pattern. In self-servo track writing (SSTW), the position reference is regenerated from previous written tracks and a servo pattern is propagated to cover the disk in a progressive mode. Error will propagate and compound in this process. In this paper, the radial error propagation is discussed and a containment scheme is established. Furthermore, experimental results of SSTW on a head-disk assembly with blank media and off-the-shelf electronics are analyzed to show the effectiveness of error containment in self-radial propagation.Index Terms-Hard disk drive, self-servo track writing, servo track writing.

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“…Frequency responses derived by (18) are depicted in Fig. 13 (solid line) compared with those by polyphase method (dashed line).…”

Section: Identification Of Frequency Response Of Sensitivity Functmentioning

confidence: 99%

A study on multirate sampled-data control for hard disk drives

Ishikawa

2008

2008 10th IEEE International Workshop on Advanced Motion Control

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This paper proposes a head-positioning controller design for hard disk drives using multirate sampled-data H ∞ control theory. Two types of upsampling-by-2 controllers have been derived by solving a mixed sensitivity problem, one is with exogenous inputs at the plant input side (Type A) and the other is with those at the plant output side (Type B). The controlled plant used here has a mechanical resonance at a higher frequency than the Nyquist frequency, which is the half of a sampling frequency of controllers. As a result, it has been confirmed that Type A controllers are robust against aliasing of the mechanical resonance and that Type B controllers, which have the same features as conventional digital controllers using analog notch (band-eliminated) filters, attains a wider control bandwidth than that of Type A. Although the control system is affected by the resonance aliasing, a Type B controller has achieved higher positioning accuracy than that of Type A in a benchmark simulation of a hard disk drive with dual-stage servo mechanism.

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Decomposition of baseline noise sources in hard disk position error signals using the PES Pareto method

Cited by 26 publications

References 7 publications

Universal controllers in model matching optimal control problems for unknown external signals

Universal controllers in model matching optimal control problems for unknown external signals

Radial error propagation issues in self-servo track writing technology

A study on multirate sampled-data control for hard disk drives

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