2008
DOI: 10.1109/tmech.2008.2001036
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Seek Control to Suppress Vibrations of Hard Disk Drives Using Adaptive Filtering

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Cited by 10 publications
(2 citation statements)
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“…However, the dynamics of disk drives, although complex, are largely linear, and thus disk drives are candidates for control-design methodologies for linear systems. The track seek must balance the need for rapid movement with the need for low noise in consumer applications, e.g., desktop computers [77], low power consumption in mobile applications, e.g., laptops [78], and low emitted vibration due to reaction forces and moments in applications with multiple drives in a single rack, e.g., server systems [79]. The seek control must also account for saturation of the amplifier and prominent hysteresis nonlinearities in the friction of the pivot bearing [80].…”
Section: B Servo System Functions and Challengesmentioning
confidence: 99%
“…However, the dynamics of disk drives, although complex, are largely linear, and thus disk drives are candidates for control-design methodologies for linear systems. The track seek must balance the need for rapid movement with the need for low noise in consumer applications, e.g., desktop computers [77], low power consumption in mobile applications, e.g., laptops [78], and low emitted vibration due to reaction forces and moments in applications with multiple drives in a single rack, e.g., server systems [79]. The seek control must also account for saturation of the amplifier and prominent hysteresis nonlinearities in the friction of the pivot bearing [80].…”
Section: B Servo System Functions and Challengesmentioning
confidence: 99%
“…Glugla et al [13] proposed a delay compensation LMS vibration control algorithm of the FIR filter structure by modifying the gradient operator. Semba et al [14] carried out simulations and experimental verification of the hard drive FIR filtering adaptive vibration control and contrasted switch control results. Tammi [15] compared the LMS algorithm of the FIR filter with the adaptive control method of frequency convergence, and pointed out that the adaptive control method of frequency convergence was simpler and had a better control effect.…”
Section: Introductionmentioning
confidence: 99%