Microsystem Technologies

, Volume 18, Issue 9–10, pp 1255–1259 | Cite as

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

  • Gang Sheng
  • Loulin Huang
  • Jianfeng Xu
  • Jen-Yuan Chang
Technical Paper

Abstract

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.

References

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Gang Sheng
    • 1
  • Loulin Huang
    • 2
  • Jianfeng Xu
    • 3
  • Jen-Yuan Chang
    • 4
  1. 1.University of AlaskaFairbanksUSA
  2. 2.Auckland University of TechnologyAucklandNew Zealand
  3. 3.Western Digital CorporationSan JoseUSA
  4. 4.National Tsing Hua UniversityHsinchuTaiwan

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