基于观测器/卡尔曼滤波器辨识（OKID）框架的有色噪声多驱动硬盘系统辨识
System Identification in Multi-Actuator Hard Disk Drives with Colored Noises using Observer/Kalman Filter Identification (OKID) Framework
摘要：
硬盘驱动器（HDD）中的多致动器技术为驱动器配备了两个双级致动器（DSA），每个致动器包括在同一枢轴点上操作的音圈电机（VCM）致动器和压电微致动器（MA）。每个DSA负责控制一半的驱动臂。由于两个DSA在相同的枢轴木材上独立操作，因此一个DSA产生的控制力和扭矩会影响另一个DSA的操作。反馈控制器可能不能完全拒绝这些转移的干扰，需要设计前馈控制器，这需要一个良好的模型的干扰过程。通常的系统辨识技术由于存在色噪声跳动而产生有偏估计。在本文中，我们使用OKID框架来估计从一个DSA的VCM控制输入到另一个DSA的输出的干扰交叉传递函数，从所收集的被有色噪声破坏的时间序列数据。
英文摘要：
Multi Actuator Technology in Hard Disk drives (HDDs) equips drives with two dual stage actuators (DSA) each comprising of a voice coil motor (VCM) actuator and a piezoelectric micro actuator (MA) operating on the same pivot point. Each DSA is responsible for controlling half of the drive's arms. As both the DSAs operate independently on the same pivot timber, the control forces and torques generated by one affect the operation of the other. The feedback controllers might not completely reject these transferred disturbances and a need to design feedforward controllers arises, which require a good model of the disturbance process. The usual system identification techniques produce a biased estimate because of the presence of the runout which is a colored noise. In this paper, we use the OKID framework to estimate this disturbance cross transfer function from the VCM control input of one DSA to the output of the other DSA from the collected time series data corrupted by colored noise.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
