Abstract
Variety of the usage in Hard Disk Drives relies on the high speed, positioning system precision and reliability of their control mechanisms. Vibration is one of the most important concerns in the control mechanisms due to rotational movement of the HDD drivers and the data head speed so as to keep the performance under control, the movement disturbances should be accurately monitored. Disturbance Observers (DOBs) increase the control system robustness whilst improving the dynamic performance of the systems without employing sophisticated calculations and prerequisite; the plant inverse model calculation is eliminated in this method which empowers the usage and simplifies its implementation. This paper focuses on the suppression of vibration using Disturbance Observer and compares it with PID controller and Intelligent Active Force Controller to figure out the advantages of DOB.
Highlights
Vibration is one of the most important factors which must be kept under control especially in the mechanical mechanisms
The concept of Disturbance Observers (DOBs) was first proposed by Onishi [10] to improve the performance of tracking controller
A typical structure of a DOB [11] is shown below: It can be seen that to reject the effects of disturbance, the filter- Q(s)-should be designed such that it would enable selecting a variety of frequencies
Summary
Vibration is one of the most important factors which must be kept under control especially in the mechanical mechanisms. The main effects of vibration could be observed in HDD actuators. These actuators consist of especial type of mechanisms named Voice Coil Motors (VCM). A typical HDD mechanism is shown in figures to 3[1] .Numerous studies have been done on how to boost the controlling performance of the actuation mechanism of HDD. This study is conducted to incorporate and apply another new control technique called disturbance observer to the HDD positioning mechanism so that the vibration which is the most important disturbance can be cancelled rapidly, accurately and robustly. The conclusion will be driven according to the results of previous chapter in part
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