Spectral over-bounding of frequency data for modeling product variability in hard disk drive actuators

C. Kinney, R. D. de Callafon, M. D. de Oliveira
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引用次数: 5

Abstract

This paper presents a method of finding a control relevant, low-order weighting filter that over bounds the uncertainty variations in measured frequency domain data. Frequency response measurements of hard disk drive actuators are used to model manufacturing and mounting variation. A polynomial positivity condition is use to guarantee that a minimal phase representation of the uncertainty that is found and linear constraints in the frequency domain are used to bound the magnitude of uncertainty model. The positivity condition can be formulated as a linear matrix inequality and linear constraints are used to shape the filter. Manufacturing and mounting variations in hard disk drives are modeled as a multiplicative uncertainty and a low-order over bound is found from data on a finite grid. This application compares a linear programming based methods for finding uncertainty models with the purpose of designing a robust controller.
硬盘驱动器驱动器中产品变异性建模用频率数据的频谱超边界
本文提出了一种寻找与控制相关的低阶加权滤波器的方法,该滤波器可以超过测量频域数据的不确定性变化的边界。硬盘驱动器执行器的频率响应测量用于模拟制造和安装变化。利用多项式正性条件保证了不确定性的最小相位表示,并利用频域的线性约束约束了不确定性模型的大小。正性条件可以表示为线性矩阵不等式,并使用线性约束来塑造滤波器。硬盘驱动器的制造和安装变化被建模为乘法不确定性,并从有限网格上的数据中找到低阶过界。本应用比较了基于线性规划的不确定性模型寻找方法与设计鲁棒控制器的目的。
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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