Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83791
Citations | ||
Scopus | Web of ScienceĀ® | Altmetric |
---|---|---|
?
|
?
|
Type: | Conference paper |
Title: | Physics-based modelling of a piezoelectric actuator using genetic algorithm |
Author: | Miri, N. Mohammadzaheri, M. Chen, L. Grainger, S. Bazghaleh, M. |
Citation: | ISIEA 2013 - 2013 IEEE Symposium on Industrial Electronics & Applications: pp.16-20 |
Publisher: | IEEE |
Publisher Place: | Online |
Issue Date: | 2013 |
Series/Report no.: | IEEE Symposium on Industrial Electronics and Applications |
ISBN: | 9781479911257 |
ISSN: | 2373-5384 |
Conference Name: | IEEE Symposium on Industrial Electronics and Applications (2013 : Kuching, Malaysia) |
Statement of Responsibility: | Narges Miri, Morteza Mohammadzaheri, Lei Chen, Steven Grainger, Mohsen Bazghaleh |
Abstract: | A number of models have been presented to estimate the displacement of piezoelectric actuators; these models remove the need for accurate displacement sensors used in nanopositioning. Physics based models, inspired by physical phenomena, are widely used for this purpose due to their accuracy and comparatively low number of parameters. The common issue of these models is the lack of a non-ad-hoc and reliable method to estimate their parameters. Parameter identification of a widely accepted physics-based model, introduced by Voigt, is addressed in this paper. Non-linear governing equation of this model consists of five parameters needing to be identified. This research aims at developing/adopting an optimal and standard (non-ad-hoc) parameter identification algorithm to accurately determine the parameters of the model and, in a more general view, all physics-based models of piezoelectric actuators. In this paper, Genetic Algorithm (GA) which is a global optimisation method is employed to identify the model parameters. |
Keywords: | Piezoelectric actuator displacement estimation physics-based models Voigt model Optimisation method genetic algorithm sampling time |
Rights: | Copyright 2013 IEEE |
DOI: | 10.1109/ISIEA.2013.6738960 |
Published version: | http://dx.doi.org/10.1109/isiea.2013.6738960 |
Appears in Collections: | Aurora harvest Mechanical Engineering conference papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.