Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00601671" target="_blank" >RIV/67985556:_____/24:00601671 - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/Link.aspx?doi=10.5220/0013011700003822" target="_blank" >https://www.scitepress.org/Link.aspx?doi=10.5220/0013011700003822</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0013011700003822" target="_blank" >10.5220/0013011700003822</a>

Result language
angličtina
Original language name
Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks
Original language description
The paper deals with a modelling and identification of a class of piezoelectric actuators intended for mechatronic and bio-inspired robotic applications. Specifically, a commercial piezoelectric bender PL140 from Physik Instrumente Co. is used. Considering catalogue/datasheet parameters, a physical model of PL140 is derived using Euler-Bernoulli beam theory. This model serves as a substitution of reality to generate proper data without potentially damaging the real actuator. However, due to its complex structure, this model cannot be used for control design. For this purpose, a Hammerstein model is proposed. It consists of a static nonlinear part describing the hysteresis and a dynamic linear part that is represented by the auto-regressive model with exogenous input (ARX model). The nonlinear part of the Hammerstein model is identified by a neural network. The Bayesian approach is used for the estimation of the ARX model parameters.
Czech name
—
Czech description
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Project
<a href="/en/project/GC23-04676J" target="_blank" >GC23-04676J: Controllable gripping mechanics: Modelling, control and experiments</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024)
ISBN
978-989-758-717-7
ISSN
2184-2809
e-ISSN
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Number of pages
9
Pages from-to
591-599
Publisher name
SCITEPRESS
Place of publication
Setubal
Event location
Porto
Event date
Nov 18, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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