Induced voltage in piezoelectric tube driven segments and their use in nanopositioning, an assessment

Mohammadzaheri, Morteza and Tafreshi, Reza and Bazghaleh, Mohsen and Grainger, Steven and Khorasani, Mohammad (2024) Induced voltage in piezoelectric tube driven segments and their use in nanopositioning, an assessment. IET Science, Measurement & Technology. ISSN 1751-8830

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Abstract

A piezoelectric tube actuator has a number of segments or electrodes. The induced voltage and the piezoelectric voltage, two easy-to-measure electrical signals in piezoelectric tubes, have been used in position estimation of these actuators since 2006 and 1982. However, since introduction, the in-duced voltage has never been compared with the piezoelectric voltage for piezoelectric tubes’ po-sition estimation. In addition, only linear models have been used to present the relationship between the induced voltage and the position of piezoelectric tubes. In other words, in the literature, it has been practically assumed that (1) the relationship between the induced voltage and the position is linear, and (2) the induced voltage can estimate the position more accurately compared to the piezoelectric voltage. This article assesses and nullifies both these assumptions. In this research, with the use of the experimental data, both aforementioned voltage signals were mapped into the position through linear and nonlinear models. It was shown that the position can be estimated less accurately with the induced voltage compared to the piezoelectric voltage, and the relationship of the position with the induced voltage presents higher and non-negligible nonlinearity compared to the one with the piezoelectric voltage

Item Type:	Article
Identification Number:	10.1049/smt2.12209
Dates:	Date Event 8 June 2024 Accepted 26 June 2024 Published Online
Uncontrolled Keywords:	Piezoelectric Tube, Actuator, Induced Voltage, Position Estimation
Subjects:	CAH00 - multidisciplinary > CAH00-00 - multidisciplinary > CAH00-00-00 - multidisciplinary CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-02 - mechanical engineering CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering CAH11 - computing > CAH11-01 - computing > CAH11-01-05 - artificial intelligence
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Engineering
Depositing User:	Morteza Mohammadzaheri
Date Deposited:	16 Jul 2024 13:30
Last Modified:	16 Jul 2024 13:32
URI:	https://www.open-access.bcu.ac.uk/id/eprint/15647

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