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  4. Improved modelling of a monomorph piezoelectric actuator for linear self-sensing applications
 
conference paper

Improved modelling of a monomorph piezoelectric actuator for linear self-sensing applications

Masson, Louis
•
Perriard, Yves  
January 1, 2019
2019 12Th International Symposium On Linear Drives For Industry Applications (Ldia)
12th International Symposium on Linear Drives for Industry Applications (LDIA)

Based on a previous approach for the modelling of piezoelectric monomorph benders, a new, more complete, analytical model is proposed. Some previously neglected features of the actuator stack, notably the thickness of the electrodes and the presence of isolation layers at the top and bottom of the stack, were taken into account in this new iteration. The demonstrated model takes the form of a system of two constitutive equations describing the mechanical and electrical state of the actuator. This model is then experimentally validated in a test environment measuring the beta parameter of a custom made actuator for which the initial model presented errors. The results of these measurements show that the estimation error of the beta parameter for this particular actuator design has been brought down from 69% to 3%, demonstrating that the inclusion of the previously neglected features leads to an accurate analytical model, paving the way for a proper optimisation study.

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Type
conference paper
DOI
10.1109/LDIA.2019.8771007
Web of Science ID

WOS:000493111200038

Author(s)
Masson, Louis
Perriard, Yves  
Date Issued

2019-01-01

Publisher

IEEE

Publisher place

New York

Published in
2019 12Th International Symposium On Linear Drives For Industry Applications (Ldia)
ISBN of the book

978-1-5386-5804-8

Subjects

optimization

•

micro-robotics

•

sensorless

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LAI  
Event nameEvent placeEvent date
12th International Symposium on Linear Drives for Industry Applications (LDIA)

Neuchatel, SWITZERLAND

Jul 01-03, 2019

Available on Infoscience
November 14, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163105
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