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Probing and diagnosis of slider-disk interactions in nanometer clearance regime using artificial neural network
Conference paper   Peer reviewed

Probing and diagnosis of slider-disk interactions in nanometer clearance regime using artificial neural network

Gang Sheng, Loulin Huang, Jianfeng Xu and Jen-Yuan Chang
Microsystem Technologies, Vol.18(9-10), pp.1255-1259
09/2012

Abstract

Electrical and Electronic Engineering Hardware and Architecture Electronic Optical and Magnetic Materials Condensed Matter Physics
This paper addresses the issue of system identification for an active-head slider used to form a stable and reliable head-disk interface with a spacing of sub 3 nm. A new identification method is proposed to fit the highly nonstationary and highly nonlinear slider dynamics. The estimated model can be used for design of a model based nonlinear controller to control the flying height within the desired range. The effectiveness of the proposed system identification method is verified with simulation examples. © Springer-Verlag 2012.

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