Minimizing scanning errors in piezoelectric stack-actuated nanopositioning platforms

S. S. Aphale, B. Bhikkaji, S. O. R. Moheimani

Research output: Contribution to journalArticle

115 Citations (Scopus)

Abstract

Piezoelectric stack-actuated parallel-kinematic nanopositioning platforms are widely used in nanopositioning applications. These platforms have a dominant first resonant mode at relatively low frequencies, typically in the hundreds of hertz. Furthermore, piezoelectric stacks used for actuation have inherent nonlinearities such as hysteresis and creep. These problems result in a typically low-grade positioning performance. Closed-loop control algorithms have shown the potential to eliminate these problems and achieve robust, repeatable nanopositioning. Using closed-loop noise profile as a performance criterion, three commonly used damping controllers, positive position feedback, polynomial-based pole placement, and resonant control are compared for their suitability in nanopositioning applications. The polynomial-based pole placement controller is chosen as the most suitable of the three. Consequently, the polynomial-based control design to damp the resonant mode of the platform is combined with an integrator to produce raster scans of large areas. A scanning resolution of approximately 8 nm, over a 100 mu m x 100 mu m area is achieved.
Original languageEnglish
Pages (from-to)79-90
Number of pages12
JournalIEEE Transactions on Nanotechnology
Volume7
Issue number1
DOIs
Publication statusPublished - Jan 2008

Fingerprint

Polynomials
Scanning
Poles
Controllers
Control nonlinearities
Hysteresis
Creep
Kinematics
Damping
Feedback

Keywords

  • feedback control
  • nanopositioning
  • resonance damping
  • tracking
  • atomic force microscopy
  • compensation
  • control system synthesis
  • piezoelectric actuators
  • closed loop systems
  • pole assignment
  • hysteresis

Cite this

Minimizing scanning errors in piezoelectric stack-actuated nanopositioning platforms. / Aphale, S. S.; Bhikkaji, B.; Moheimani, S. O. R.

In: IEEE Transactions on Nanotechnology, Vol. 7, No. 1, 01.2008, p. 79-90.

Research output: Contribution to journalArticle

@article{a783c3699c364532b91e7586145fa0e7,
title = "Minimizing scanning errors in piezoelectric stack-actuated nanopositioning platforms",
abstract = "Piezoelectric stack-actuated parallel-kinematic nanopositioning platforms are widely used in nanopositioning applications. These platforms have a dominant first resonant mode at relatively low frequencies, typically in the hundreds of hertz. Furthermore, piezoelectric stacks used for actuation have inherent nonlinearities such as hysteresis and creep. These problems result in a typically low-grade positioning performance. Closed-loop control algorithms have shown the potential to eliminate these problems and achieve robust, repeatable nanopositioning. Using closed-loop noise profile as a performance criterion, three commonly used damping controllers, positive position feedback, polynomial-based pole placement, and resonant control are compared for their suitability in nanopositioning applications. The polynomial-based pole placement controller is chosen as the most suitable of the three. Consequently, the polynomial-based control design to damp the resonant mode of the platform is combined with an integrator to produce raster scans of large areas. A scanning resolution of approximately 8 nm, over a 100 mu m x 100 mu m area is achieved.",
keywords = "feedback control, nanopositioning, resonance damping, tracking, atomic force microscopy, compensation, control system synthesis, piezoelectric actuators, closed loop systems, pole assignment, hysteresis",
author = "Aphale, {S. S.} and B. Bhikkaji and Moheimani, {S. O. R.}",
year = "2008",
month = "1",
doi = "10.1109/TNANO.2007.910333",
language = "English",
volume = "7",
pages = "79--90",
journal = "IEEE Transactions on Nanotechnology",
issn = "1536-125X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Minimizing scanning errors in piezoelectric stack-actuated nanopositioning platforms

AU - Aphale, S. S.

AU - Bhikkaji, B.

AU - Moheimani, S. O. R.

PY - 2008/1

Y1 - 2008/1

N2 - Piezoelectric stack-actuated parallel-kinematic nanopositioning platforms are widely used in nanopositioning applications. These platforms have a dominant first resonant mode at relatively low frequencies, typically in the hundreds of hertz. Furthermore, piezoelectric stacks used for actuation have inherent nonlinearities such as hysteresis and creep. These problems result in a typically low-grade positioning performance. Closed-loop control algorithms have shown the potential to eliminate these problems and achieve robust, repeatable nanopositioning. Using closed-loop noise profile as a performance criterion, three commonly used damping controllers, positive position feedback, polynomial-based pole placement, and resonant control are compared for their suitability in nanopositioning applications. The polynomial-based pole placement controller is chosen as the most suitable of the three. Consequently, the polynomial-based control design to damp the resonant mode of the platform is combined with an integrator to produce raster scans of large areas. A scanning resolution of approximately 8 nm, over a 100 mu m x 100 mu m area is achieved.

AB - Piezoelectric stack-actuated parallel-kinematic nanopositioning platforms are widely used in nanopositioning applications. These platforms have a dominant first resonant mode at relatively low frequencies, typically in the hundreds of hertz. Furthermore, piezoelectric stacks used for actuation have inherent nonlinearities such as hysteresis and creep. These problems result in a typically low-grade positioning performance. Closed-loop control algorithms have shown the potential to eliminate these problems and achieve robust, repeatable nanopositioning. Using closed-loop noise profile as a performance criterion, three commonly used damping controllers, positive position feedback, polynomial-based pole placement, and resonant control are compared for their suitability in nanopositioning applications. The polynomial-based pole placement controller is chosen as the most suitable of the three. Consequently, the polynomial-based control design to damp the resonant mode of the platform is combined with an integrator to produce raster scans of large areas. A scanning resolution of approximately 8 nm, over a 100 mu m x 100 mu m area is achieved.

KW - feedback control

KW - nanopositioning

KW - resonance damping

KW - tracking

KW - atomic force microscopy

KW - compensation

KW - control system synthesis

KW - piezoelectric actuators

KW - closed loop systems

KW - pole assignment

KW - hysteresis

U2 - 10.1109/TNANO.2007.910333

DO - 10.1109/TNANO.2007.910333

M3 - Article

VL - 7

SP - 79

EP - 90

JO - IEEE Transactions on Nanotechnology

JF - IEEE Transactions on Nanotechnology

SN - 1536-125X

IS - 1

ER -