IMC-based feedforward control of a piezoelectric tube actuator

Morteza Mohammadzaheri, Steven Grainger, Mehdi Kasaee Kopaei, Mohsen Bazghaleh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This article addresses sensorless control of a piezoelectric tube actuator to avoid the expense and practical limits of displacement sensors in nanopositioning. Three electrical signals have been used to estimate displacement: the piezoelectric voltage, the induced voltage and the sensing voltage. In this work, the piezoelectric voltage was employed to estimate displacement which does not require drift removal like the sensing voltage and does not suffer from a time lag respect to displacement like the induced voltage. This signal is the actuating signal at the same time, so the sensorless control system is feedforward. It was shown the relationship between the piezoelectric actuator and displacement is nearly linear at the designated operation area: excitation of the tube by triangular voltage functions with the magnitude up to 60V and the frequency up to 60Hz. Therefore, Internal Model Control (IMC) was employed to design this feedforward controller based on a second order linear discrete model which maps the piezoelectric voltage into displacement. The performance of the proposed feedforward controller has been compared with a well-tuned feedforward P-action controller and a remarkable improvement has been observed.

Original languageEnglish
Title of host publication2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
PublisherIEEE
Pages357-361
Number of pages5
ISBN (Electronic)9781467355018
ISBN (Print)9781467354998
DOIs
Publication statusPublished - 13 Jun 2013
Event2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future - Melbourne, VIC, Australia
Duration: 2 Apr 20135 Apr 2013

Conference

Conference2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future
Abbreviated titleISSNIP 2013
CountryAustralia
CityMelbourne, VIC
Period2/04/135/04/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Mohammadzaheri, M., Grainger, S., Kopaei, M. K., & Bazghaleh, M. (2013). IMC-based feedforward control of a piezoelectric tube actuator. In 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 357-361). IEEE. https://doi.org/10.1109/ISSNIP.2013.6529816