| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0601671 |
| utime |
20241209115826.1 |
| mtime |
20241125235959.9 |
| DOI |
10.5220/0013011700003822 |
| title
(primary) (eng) |
Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks |
| specification |
| page_count |
9 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0601670 |
| ISBN |
978-989-758-717-7 |
| ISSN |
2184-2809 |
| title
|
Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024) |
| page_num |
591-599 |
| publisher |
| place |
Setubal |
| name |
SCITEPRESS |
| year |
2024 |
|
| editor |
| name1 |
Gini |
| name2 |
Giuseppina |
|
| editor |
| name1 |
Precup |
| name2 |
Radu-Emil |
|
| editor |
| name1 |
Filev |
| name2 |
Dimitar |
|
|
| keyword |
Piezoceramic Actuator |
| keyword |
Hammerstein Model |
| keyword |
Bayesian Estimation |
| keyword |
ARX Model |
| 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 |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GC23-04676J |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0453493 |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0477334 |
| name |
International Conference on Informatics in Control, Automation and Robotics 2024 (ICINCO 2024) /21./ |
| dates |
20241118 |
| mrcbC20-s |
20241120 |
| place |
Porto |
| country |
PT |
|
| RIV |
BC |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2025 |
| num_of_auth |
2 |
| presentation_type |
PR |
| mrcbC55 |
UTIA-B BC |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0359677 |
| confidential |
S |
| arlyear |
2024 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0601670 Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024) SCITEPRESS 2024 Setubal 591 599 978-989-758-717-7 2184-2809 |
| mrcbU67 |
Gini Giuseppina 340 |
| mrcbU67 |
Precup Radu-Emil 340 |
| mrcbU67 |
Filev Dimitar 340 |
|