Detail publikace

On Improving TLS Identification Results Using Nuisance Variables with Application on PMSM

FRIML, D. KOZUBÍK, M. VÁCLAVEK, P.

Originální název

On Improving TLS Identification Results Using Nuisance Variables with Application on PMSM

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article presents a novel total least-squares based method for errors-in-variables model identification with a known structure. This method considers the errors of both input and output variables and thus achieves more accurate estimates compared to conventional ordinary least-squares based methods. The introduced method consists of two recursive total least-squares algorithms connected in a hierarchical structure, which allows for exploitation of nuisance variables and a priori known structure of the identified model. The total least-squares (TLS) method is introduced, and a new “nuisance improved hierarchical total least-squares” (nHTLS) method is derived. Its properties are discussed and proved by simulations. Furthermore, the method is applied in a practical experiment consisting of the state-space identification of the permanent magnet synchronous motor (PMSM). The introduced method is compared with TLS and proven to provide measurably superior dynamical behavior and smaller estimation error of results.

Klíčová slova

Total Least-Squares, Errors-in-Variables, Hierarchical Total Least-Squares, Nuisance Variables, PMSM Identification

Autoři

FRIML, D.; KOZUBÍK, M.; VÁCLAVEK, P.

Vydáno

13. 11. 2021

Nakladatel

IEEE

ISBN

978-1-6654-3554-3

Kniha

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society

Strany od

1

Strany do

6

Strany počet

6

URL

https://ieeexplore.ieee.org/document/9589402

Plný text v Digitální knihovně

http://hdl.handle.net/11012/202278

BibTex

@inproceedings{BUT173146,
  author="Dominik {Friml} and Michal {Kozubík} and Pavel {Václavek}",
  title="On Improving TLS Identification Results Using Nuisance Variables with Application on PMSM",
  booktitle="IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society",
  year="2021",
  pages="1--6",
  publisher="IEEE",
  doi="10.1109/IECON48115.2021.9589402",
  isbn="978-1-6654-3554-3",
  url="https://ieeexplore.ieee.org/document/9589402"
}