OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Temperature dependent hysteresis modeling of a piezotube actuator using elman neural network

Al Janaideh, Mohammad and Al Saaideh, Mohammad and Rakotondrabe, Micky Temperature dependent hysteresis modeling of a piezotube actuator using elman neural network. (2019) In: Dynamic Systems and Control Conference, 8 October 2019 - 12 October 2019 (Park city, United States).

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
660kB

Official URL: https://doi.org/10.1115/DSCC2019-9184

Abstract

In this study, the hysteresis nonlinearities of a piezotube actuator are investigated under different levels of surrounding temperature. The experimental results show that increasing of the surrounding temperature contributes to an increase in the output displacement of the piezotube actuator under the input range that is considered in the experimental tests. In this study, we develop a hysteresis model integrates the dead-zone operator with Elman Neural Network (ENN) to model the temperature-dependent hysteresis nonlinearities. The simulation results show that the proposed temperature-dependent hysteresis model accounts for the temperature effects on the voltage-to-displacement hysteresis nonlinearities. The results show that the proposed model can characterize the voltage-to-displacement hysteresis loops over different levels of surrounding temperature.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-03103960
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > University of Jordan - UJ (JORDAN)
Other partners > Memorial University of Newfoundland - MUN (CANADA)
Laboratory name:
Statistics:download
Deposited On:11 Dec 2020 10:59

Repository Staff Only: item control page