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Motion Controller for Atomic Force Microscopy Based Nanobiomanipulation

  • Ning Xi
  • Ruiguo Yang
  • King Wai Chiu Lai
  • Bo Song
  • Bingtuan Gao
  • Jian Shi
  • Chanmin Su
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 413)

Abstract

Nanomanipulation with Atomic Force Microscopy (AFM) is one of the fundamental tools for nanomanufacturing. The motion control of the nanomanipulation system requires accurate feedback from the piezoelectric actuator and a highfrequency response from the control system. Since a normal AFM control system for scanning motion is not suitable for control of arbitrary motion, we therefore modified the hardware configuration to meet the demand of nanomanipulation control. By identifying the necessary parameters using system identification methods, we built up a new dynamic model for the modified configuration. Based on the new model and configuration, we designed and implemented a control scheme as motion controller for AFM nanomanipulation operation. The aims are to analyze various factors in the control of the AFM-based nanomanipulation system. By integrating the original AFM controller with the external Linux real-time controller, we achieved a stable system with high-frequency response. Several problems have been addressed based on the new control scheme, such as high frequency response, robust feedback control and non-linearity, etc. Finally this Multiple-Input Single-Output (MISO) system is validated by a real-time nanomanipulation task. It is proved to be an effective and efficient tool for the controlling of the nanobiomanipulation operation by cutting the intercellular junction of human keratinocytes.

Keywords

Atomic Force Microscopy Piezoelectric Actuator Step Response Haptic Device Intercellular Junction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ning Xi
    • 1
  • Ruiguo Yang
    • 1
  • King Wai Chiu Lai
    • 1
  • Bo Song
    • 1
  • Bingtuan Gao
    • 1
  • Jian Shi
    • 2
  • Chanmin Su
    • 2
  1. 1.Department of Electrical and Computer EngineeringMichigan State UniversityEast LansingUSA
  2. 2.Bruker-Nano, IncSanta BarbaraUSA

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