An Adaptive Compensated Proportional – Derivative Controller Using Artificial Neural Networks for Hard Disk Drive Lapping Machines

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Prakarnkiat Youngkong
Prasit Wonglersak

Abstract

In this paper, an adaptive compensated proportional – derivative controller using the artificial neuralnetworks was presented for hard disk drive head lapping machines where standard deviation reduction ofthe final stripe height was determined to be a key performance. Hebbian learning technique was applied toadjust the gains. More than 10,000 heads from two different products that final stripe heights are different,were lapped using learning rate = 0.20, Kpc=13 and Kdc=16. As a result, 89.41 percent of the heads withstandard deviation less than 6 μΩ was obtained.

Keywords : Adaptive Compensated Proportional – Derivative Control (ACPD) / Hard DiskDrive Head / Deviation of Stripe Height / Hebbian learning

Article Details

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Original Articles
Author Biographies

Prakarnkiat Youngkong, King Mongkut’s University of Technology Thonburi, Bangmod, Thungkru, Bangkok 10140

Lecturer, Institute of Field Robotics.

Prasit Wonglersak, King Mongkut’s University of Technology Thonburi, Bangmod, Thungkru, Bangkok 10140

Graduate Student, Institute of Field Robotics.