An adaptive velocity estimation approach for improved disk drive control performance

F. Janabi-Sharifi, A. Shademan
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引用次数: 2

Abstract

For disk servo system design, it is desired to optimize data storage and transfer subject to the constraints imposed by the servomechanism including velocity estimation and control algorithm, disk space, the actuator, and other limiting factors. Therefore, positioning the head with high accuracy, speed, and reliability is of significant importance. Since velocity estimation is essential for many disk servomechanisms, the quality of head positioning will be governed by the accuracy, speed and reliability of the velocity estimation methods employed. In this paper, adaptive windowing techniques for discrete velocity estimation in disk drives are introduced. The methods are compared with conventional techniques such as finite difference method and Kalman filtering using the introduced measures. It is shown that the proposed techniques generate relatively accurate and reliable estimates with reduced time delays and lower amplitude distortions when compared with the previous methods. Finally, it is demonstrated that the proposed techniques improve the control performance of the disk servo systems.
一种改进磁盘驱动器控制性能的自适应速度估计方法
对于磁盘伺服系统的设计,需要在伺服机构的约束下优化数据的存储和传输,包括速度估计和控制算法、磁盘空间、执行器和其他限制因素。因此,准确、快速、可靠地定位磁头是非常重要的。由于速度估计对于许多磁盘伺服机构来说是必不可少的,因此头部定位的质量将取决于所采用的速度估计方法的准确性、速度和可靠性。本文介绍了用于磁盘驱动器离散速度估计的自适应加窗技术。利用引入的测度,将该方法与有限差分法和卡尔曼滤波等传统方法进行了比较。结果表明,与以前的方法相比,所提出的技术产生的估计相对准确可靠,并且具有更小的时延和更低的幅度失真。最后,实验证明了所提出的技术提高了磁盘伺服系统的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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