• DocumentCode
    2014988
  • Title

    Evaluation of the induced voltage in driven electrodes of piezoelectric tube actuators for sensorless nanopositioning

  • Author

    Mohammadzaheri, Morteza ; Tafreshi, Reza ; Mohammad-khorasani, Mohammad ; Bazghaleh, Mohsen ; Grainger, Steven

  • Author_Institution
    Texas A&M Univ. at Qatar, Doha, Qatar
  • fYear
    2015
  • fDate
    1-4 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In piezoelectric tube actuators, there are a number of segments or electrodes, some of them, driver electrodes, are excited by applying electrical voltage. As a result, electrical voltage is induced in other electrodes. The measured voltage across driver and non-driver electrodes/segments are called the piezoelectric voltage and the induced voltage respectively. The induced voltage has been used in displacement estimation and control of piezoelectric tube actuators since 2006, while the piezoelectric voltage has been used for the same purpose since 1980´s. However, the newly introduced signal of the induced voltage has never been critically assessed for piezoelectric tubes´ displacement estimation and control purposes, particularly in comparison with the piezoelectric voltage, another easy to measure electrical signal; this article aims to present such an assessment. In this research, both signals were mapped into displacement through linear and nonlinear models. It was shown displacement can be estimated less accurately via the induced voltage compared to the piezoelectric voltage and the relationship of displacement with the induced voltage presents higher nonlinearity compared to one with the piezoelectric voltage.
  • Keywords
    electrodes; nanopositioning; piezoelectric actuators; displacement estimation; driven electrode; induced voltage evaluation; nonlinear model; piezoelectric tube actuator; piezoelectric voltage; sensorless nanopositioning; Electrodes; Electron tubes; Neural networks; Piezoelectric actuators; Voltage control; Voltage measurement; Artificial Neural Networks; Induced Voltage; Nanopositioing; Piezoelectric Actautor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th
  • Conference_Location
    Muscat
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2015.7060050
  • Filename
    7060050