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Featured researches published by Wei Xi.


ASME 2013 Conference on Information Storage and Processing Systems | 2013

A Robust Servo Demodulation Algorithm to Compensate for Head Velocity Induced Error

Wei Xi; Guoxiao Guo; Jie Yu

The fast growing areal density and continuous increasing demand of IOPS and throughput in hard disk drive present great challenges to servo systems on the performance of the track-follow accuracy and seek time. A high bandwidth servo system is required to meet the demand. However, the performance of the servo systems is ultimately limited by the resolution of the position signal which is demodulated form embedded servo sector. Inside the servo sector, the servo track address combining with the servo bursts provide a global position signal of read/write head. The servo track address, which is commonly encoded as gray code, provides coarse position information. Whereas the servo bursts carries the position error signal (PES) to determine the fine position information. There are multiple servo pattern schemes that have been used in hard disk drive, for example, amplitude based servo pattern, phase pattern, and dual frequency pattern [1]. The servo track address and servo bursts span multiple magnetic cycles. The head position is assumed to be unchanged when it travels through the servo sector. The assumption is valid when head is track-following or seeking at low velocity. However, when the head seeks with high velocity, the assumption induces large PE demodulation error, since the head can move as much as a few tracks when it travels through the servo sector. Thereby, it prevents us to use high servo bandwidth for pushing seeking performance. To tackle this problem, we proposed a robust PE demodulation algorithm which can eliminate the head velocity introduced error. The new demodulation algorithm can be generally applied to any servo pattern schemes. The paper is organized as follows. The servo burst modeling and problem formulations are introduced in section I. The velocity based PE demodulation algorithm is presented in section II. The paper concludes with simulation and experiment results.Copyright


Archive | 2008

Disk drive employing iterative learning control for tuning seek servo loop

Jie Yu; Kuang-Yang Tu; Young-Hoon Kim; Wei Xi


Archive | 2012

Disk drive adjusting microactuator gain by injecting a sinusoid into a servo control system

Wei Xi; Young-Hoon Kim


Archive | 2012

Methods for closed-loop compensation of ultra-high frequency disturbances in hard disk drives and hard disk drives utilizing same

Xu Chen; Wei Xi; Young-Hoon Kim; Kuang-Yang Tu


Archive | 2010

Disk drive adjusting servo burst signals to compensate for radial velocity of the head

Wei Xi; Abhishek Dhanda; Guoxiao Guo; Jie Yu


Archive | 2011

Disk drive selecting disturbance signal for feed-forward compensation

JianGuo Zhou; Wei Xi; Kuang-Yang Tu; Alain Chahwan


Archive | 2014

Data storage device employing adaptive feed-forward control in timing loop to compensate for vibration

JianGuo Zhou; Wei Xi; Guoxiao Guo; Hui Li


Archive | 2012

Disk drive filtering disturbance signal and error signal for adaptive feed-forward compensation

Xu Chen; JianGuo Zhou; Wei Xi; Kuang-Yang Tu; Guoxiao Guo


Archive | 2014

Data storage device on-line adapting disturbance observer filter

Wei Xi; Young-Hoon Kim; Kuang-Yang Tu


Archive | 2013

Disk drive adjusting phase of adaptive feed-forward controller when reconfiguring servo loop

Young-Hoon Kim; Wei Xi

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Xu Chen

University of Connecticut

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Minghui Zheng

University of California

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