bibtype M - Monography Chapter
ARLID 0646411
utime 20260226073416.5
mtime 20260223235959.9
DOI 10.1007/978-3-032-17899-2_13
title (primary) (eng) Identification and Feed-Forward Control of Piezoelectric Bender Using Hammerstein Hysteresis Model
specification
page_count 18 s.
book_pages 344
media_type P
serial
ARLID cav_un_epca*0646410
ISBN 978-3-032-17898-5
title Informatics in Control, Automation and Robotics : 21st International Conference ICINCO 2024 Porto, Portugal, November 18-20, 2024 - Revised Selected Papers
part_num 1566
page_num 284-301
publisher
place Cham
name Springer
year 2026
editor
name1 Gini
name2 G.
editor
name1 Filev
name2 D.
editor
name1 Precup
name2 R. E.
keyword Piezoceramic actuator
keyword Hammerstein model
keyword Hysteresis
keyword ARX model
keyword Feed-forward controller
keyword Physical modelling
keyword Euler–Bernoulli beam theory
author (primary)
ARLID cav_un_auth*0382598
name1 Kuklišová Pavelková
name2 Lenka
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
country CZ
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101064
name1 Belda
name2 Květoslav
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://library.utia.cas.cz/separaty/2026/AS/kuklisova-0646411.pdf
cas_special
project
project_id GC23-04676J
agency GA ČR
country CZ
ARLID cav_un_auth*0453493
abstract (eng) The paper presents a modelling and identification of a piezoelectric actuator and the feed-forward controller design. A commercial piezoelectric bender, model PL140, from Physik Instrumente Co. is considered. Its physical model is derived using Euler-Bernoulli beam theory. The model is designed to generate experimental data without using a real actuator. Nevertheless, this model is unsuitable for control design due to its complex structure. For the purpose of control, a Hammerstein model is proposed. Its structure comprises a static non-linear component that characterizes hysteresis and a dynamic linear component represented by a stochastic autoregressive model with external inputs (ARX model). The non-linear component of the Hammerstein model is represented by a shallow neural network. The parameters of the ARX model are estimated by the Bayesian approach. The feedforward controller is based on the independently inverted part of the developed Hammerstein model. The results are illustrated by simulations using the proposed physical model.
reportyear 2027
RIV BC
FORD0 20000
FORD1 20200
FORD2 20204
num_of_auth 2
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0376312
confidential S
arlyear 2026
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0646410 Informatics in Control, Automation and Robotics : 21st International Conference ICINCO 2024 Porto, Portugal, November 18-20, 2024 - Revised Selected Papers 1566 978-3-032-17898-5 284 301 Cham Springer 2026 Lecture Notes in Electrical Engineering 1566
mrcbU67 Gini G. 340
mrcbU67 Filev D. 340
mrcbU67 Precup R. E. 340