Velocity estimation of flexible dynamics systems using virtual sensing.

Multiple virtual sensors Soft sensing Velocity estimation Virtual sensing

Journal

ISA transactions
ISSN: 1879-2022
Titre abrégé: ISA Trans
Pays: United States
ID NLM: 0374750

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 19 08 2019
revised: 19 08 2020
accepted: 04 10 2020
pubmed: 14 10 2020
medline: 14 10 2020
entrez: 13 10 2020
Statut: ppublish

Résumé

In this paper, multiple virtual sensors derived from the equations of motion of a flexible dynamics system, are utilized to form a novel virtual sensing system able to estimate the angular and translation velocities. Measuring only the elastic displacement of the flexible body by a strain gauge, angular velocities are estimated by the first virtual sensor composed of a kinetics equation related to the flexibility, and the nonlinear Kalman and particle filters. Moreover, for translational velocities to be also estimated, specific forces are measured by accelerometers. The second virtual sensor including the equation of translational motion, is added to the virtual sensing system, leading not only the velocities to be estimated with high performance but the accumulated errors of the sensors to be corrected.

Identifiants

pubmed: 33046239
pii: S0019-0578(20)30412-2
doi: 10.1016/j.isatra.2020.10.017
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

242-258

Informations de copyright

Copyright © 2020 ISA. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alireza Naderi Akhormeh (A)

Aerospace Engineering Department, K.N. Toosi University of Technology, Tehran, Iran. Electronic address: ar.naderi@mail.kntu.ac.ir.

Hoomaan MoradiMaryamnegari (H)

Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy. Electronic address: hoomaan.moradimaryamnegari@unibz.it.

Abdol Majid Khoshnood (AM)

Aerospace Engineering Department, K.N. Toosi University of Technology, Tehran, PO Box 16765-3381, Iran. Electronic address: khoshnood@kntu.ac.ir.

Ahmad Samiee (A)

Mechatronic Engineering Department, Islamic Azad University, Science and Research Branch, Tehran, Iran. Electronic address: Ahmad.samiee@srbiau.ac.ir.

Classifications MeSH