2006
DOI: 10.1109/tie.2006.870660
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Adaptive resonant mode compensation for hard disk drives

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Cited by 48 publications
(14 citation statements)
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“…In that method, the mechanical parameters of the arm are identified during the acceleration period and the identified parameters are used for the residual vibration suppression during the settling period (Iwasaki et al 1998). Ohno and Hara proposed the adaptive resonant mode identification method for Hard Disk Drives (Ohno and Hara 2006). The real-time identified controlled object model is described as follows:…”
Section: Adaptive Nonstationary Control Methodsmentioning
confidence: 99%
“…In that method, the mechanical parameters of the arm are identified during the acceleration period and the identified parameters are used for the residual vibration suppression during the settling period (Iwasaki et al 1998). Ohno and Hara proposed the adaptive resonant mode identification method for Hard Disk Drives (Ohno and Hara 2006). The real-time identified controlled object model is described as follows:…”
Section: Adaptive Nonstationary Control Methodsmentioning
confidence: 99%
“…An adaptive notch filter, comprising of a tunable finite-duration impulse response (FIR) filter and its tuner, was designed to identify the resonance frequency of the actuator rapidly and adjust its center frequency in an automatic manner [15]. A similar method, in which the center frequency follows the change in resonant frequency based on the balance of two types of frequency weighted variances of the control input signal, was used in [16]. Besides adaptive notch filters, indirect adaptive compensation (IAC), and structurally parallel compensation (SPC) were also proposed for resonant mode compensation in HDD dual stage actuation systems [17].…”
Section: Introductionmentioning
confidence: 99%
“…A tuner is designed to identify the resonance frequency rapidly, and the center frequency of the filter is adjusted automatically. A similar method is used in Ohno and Hara (2006), in which the center frequency follows the change in resonance frequency based on the balance of two types of frequency weighted variances of the control input signal. However, in almost all the adaptive methods, finding the adaptive law is nontrivial and choosing the adaptive law parameters is tedious.…”
Section: Introductionmentioning
confidence: 99%