Adaptive hysteresis compensation on an experimental nanopositioning platform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F16%3APU120545" target="_blank" >RIV/00216305:26620/16:PU120545 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/00207179.2016.1214874" target="_blank" >http://dx.doi.org/10.1080/00207179.2016.1214874</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/00207179.2016.1214874" target="_blank" >10.1080/00207179.2016.1214874</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive hysteresis compensation on an experimental nanopositioning platform

Popis výsledku v původním jazyce

This paper presents a novel adaptive approach for hysteresis compensation applied to a piezoelectric actuator in one axis of anSTM-like lab-mademicro-/nanopositioning platform. The idea is to identify a compensating static parametric model, which imitates directly the inverse model of the nonlinearity. In this way, the approach is less complex than those based on model inversion. In addition, the identification ismade online, allowing to consider a simple polynomial model, and to adapt its parameters according to the actual hysteresis curve which is faced (ascending or descending path, varying input amplitude, etc.). In order to be able to track possibly fast parameter variations, an original adaptation algorithm is proposed within the Bayesian framework, and including an exponential forgetting factorwith optimal data-driven tuning. Illustrative experimental results are finally presented for tracking both triangular and sinusoidal reference signals with varying amplitude.

Název v anglickém jazyce

Adaptive hysteresis compensation on an experimental nanopositioning platform

Popis výsledku anglicky

This paper presents a novel adaptive approach for hysteresis compensation applied to a piezoelectric actuator in one axis of anSTM-like lab-mademicro-/nanopositioning platform. The idea is to identify a compensating static parametric model, which imitates directly the inverse model of the nonlinearity. In this way, the approach is less complex than those based on model inversion. In addition, the identification ismade online, allowing to consider a simple polynomial model, and to adapt its parameters according to the actual hysteresis curve which is faced (ascending or descending path, varying input amplitude, etc.). In order to be able to track possibly fast parameter variations, an original adaptation algorithm is proposed within the Bayesian framework, and including an exponential forgetting factorwith optimal data-driven tuning. Illustrative experimental results are finally presented for tracking both triangular and sinusoidal reference signals with varying amplitude.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

INTERNATIONAL JOURNAL OF CONTROL

ISSN

0020-7179

e-ISSN

1366-5820

Svazek periodika

1

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

1-14

Kód UT WoS článku

000394644200009

EID výsledku v databázi Scopus

2-s2.0-84988346553