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


Advances in Automobile Engineering

Author(s): Gang Sheng, Loulin Huang

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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 non-stationary 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.

This article was published in springer and referenced in Advances in Automobile Engineering

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