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Method and apparatus for decomposing drive error signal noise sources

机译:分解驱动误差信号噪声源的方法和装置

摘要

A process and apparatus is described to break down the Position Error Signal (PES) of a magnetic or optical disk or tape drive to its contributing components. (In the case of the optical disk drive, the method is actually two different PESs, Focus Error Signal (FES) and Tracking Error Signal (TES).) This method is based on three concepts: an understanding of how Bode's Integral Theorem ties into noise measurements, a measurement methodology that allows for the isolation of individual noise sources, and a system model that allows these sources to be recombined to form the drive's Position Error Signal. The method measures frequency response functions and output power spectra of each servo system element. Each input noise spectrum can then be inferred and applied to the closed loop model to determine its effect on the PES uncertainty. The method allows the user to identify and rank the most critical noise sources in the positioning mechanism of a drive. This allows for optimization of the drive positioning control loop(s) by suitable design choices. Such choices may include--but are not limited to- -optimization of the position encoding on the data storage surface (such as groove dimensions in an optical drive), optimization of the position signal detection method (such as the demodulation method on a magnetic disk or tape drive), and optimization of the actuator design. Such optimization is far more difficult without this invention because it is very difficult to identify which improvements are most helpful.
机译:描述了一种用于将磁盘或光盘驱动器或磁带驱动器的位置误差信号(PES)分解为其作用部件的过程和设备。 (对于光盘驱动器,该方法实际上是两个不同的PES,即聚焦误差信号(FES)和跟踪误差信号(TES)。)此方法基于三个概念:了解Bode积分定理如何与噪声测量,一种允许隔离单个噪声源的测量方法以及一种允许将这些噪声源重新组合以形成驱动器的位置误差信号的系统模型。该方法测量每个伺服系统元件的频率响应函数和输出功率谱。然后,可以推断出每个输入噪声谱并将其应用于闭环模型,以确定其对PES不确定性的影响。该方法允许用户识别驱动器的定位机制中最关键的噪声源并对其进行排名。这允许通过适当的设计选择来优化驱动器定位控制回路。这样的选择可能包括-但不限于-优化数据存储表面上的位置编码(例如,光驱中的凹槽尺寸),优化位置信号检测方法(例如,磁器件上的解调方法)磁盘或磁带驱动器),并优化执行器设计。没有本发明,这种优化要困难得多,因为很难确定哪些改进是最有帮助的。

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