Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors

Tanja Zwerger; Paolo Mercorelli

doi:10.1007/978-3-030-50936-1_36

Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors

Tanja Zwerger^*
, Paolo Mercorelli

^*Korrespondierende/r Autor/-in für diese Arbeit

Professur für Regelungs- und Antriebstechnik

Rolls Royce Solution GmbH

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

3 Zitate (Scopus)

Abstract

This paper deals with an analysis and design of Dual Extended Kalman Filters (DKFs) to estimate parameters and state variables in Permanent Magnet Synchronous Machines (PMSMs) to be utilized in a control structure. A dual estimation problem consists of a simultaneous estimation of states of the dynamical system and its parameters using only noisy output observations. In this paper, the limit of an Augmented and Extended Kalman Filter (AEKF) obtained through standard state augmentation to estimate parameters is shown and, alternatively, a DKF approach which is characterized by the use of the state model descriptions in the output of an AEKF is proposed. The two different approaches are analyzed and compared. These results are supported by simulations.

Originalsprache	Englisch
Titel	Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020
Redakteure/-innen	Andrzej Bartoszewicz, Jacek Kabziński, Janusz Kacprzyk
Seitenumfang	12
Band	1
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	01.01.2020
Seiten	424-435
ISBN (Print)	978-3-030-50935-4
ISBN (elektronisch)	978-3-030-50936-1
DOIs	https://doi.org/10.1007/978-3-030-50936-1_36
Publikationsstatus	Erschienen - 01.01.2020
Veranstaltung	20th Polish Control Conference, PCC 2020 - Lodz University of Technology, Lodz, Polen Dauer: 22.06.2020 → 24.06.2020 Konferenznummer: 20 https://www.kka.p.lodz.pl/index_e.php

Fachgebiete und Schlagwörter

Ingenieurwissenschaften

Zugriff auf Dokument

10.1007/978-3-030-50936-1_36

Dieses zitieren

Zwerger, T., & Mercorelli, P. (2020). Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors. in A. Bartoszewicz, J. Kabziński, & J. Kacprzyk (Hrsg.), Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020 (Band 1, S. 424-435). (Advances in Intelligent Systems and Computing; Band 1196). Springer Verlag. https://doi.org/10.1007/978-3-030-50936-1_36

Zwerger, Tanja ; Mercorelli, Paolo. / Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors. Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020. Hrsg. / Andrzej Bartoszewicz ; Jacek Kabziński ; Janusz Kacprzyk. Band 1 Cham : Springer Verlag, 2020. S. 424-435 (Advances in Intelligent Systems and Computing).

@inbook{5568032a49c84b079efb1ff22c06c7a2,

title = "Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors",

abstract = "This paper deals with an analysis and design of Dual Extended Kalman Filters (DKFs) to estimate parameters and state variables in Permanent Magnet Synchronous Machines (PMSMs) to be utilized in a control structure. A dual estimation problem consists of a simultaneous estimation of states of the dynamical system and its parameters using only noisy output observations. In this paper, the limit of an Augmented and Extended Kalman Filter (AEKF) obtained through standard state augmentation to estimate parameters is shown and, alternatively, a DKF approach which is characterized by the use of the state model descriptions in the output of an AEKF is proposed. The two different approaches are analyzed and compared. These results are supported by simulations.",

keywords = "Augmented Extended Kalman Filter, Dual Extended Kalman Filter, Parameters estimation, Permanent Magnet Synchronous Machine, Engineering",

author = "Tanja Zwerger and Paolo Mercorelli",

year = "2020",

month = jan,

day = "1",

doi = "10.1007/978-3-030-50936-1\_36",

language = "English",

isbn = "978-3-030-50935-4",

volume = "1",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "424--435",

editor = "Andrzej Bartoszewicz and Jacek Kabzi{\'n}ski and Janusz Kacprzyk",

booktitle = "Advanced, Contemporary Control",

address = "Germany",

note = "20th Polish Control Conference, PCC 2020, PCC2020 ; Conference date: 22-06-2020 Through 24-06-2020",

url = "https://www.kka.p.lodz.pl/index\_e.php",

}

Zwerger, T & Mercorelli, P 2020, Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors. in A Bartoszewicz, J Kabziński & J Kacprzyk (Hrsg.), Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020. Bd. 1, Advances in Intelligent Systems and Computing, Bd. 1196, Springer Verlag, Cham, S. 424-435, 20th Polish Control Conference, PCC 2020, Lodz, Polen, 22.06.20. https://doi.org/10.1007/978-3-030-50936-1_36

Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors. / Zwerger, Tanja; Mercorelli, Paolo.
Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020. Hrsg. / Andrzej Bartoszewicz; Jacek Kabziński; Janusz Kacprzyk. Band 1 Cham: Springer Verlag, 2020. S. 424-435 (Advances in Intelligent Systems and Computing; Band 1196).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

TY - CHAP

T1 - Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors

AU - Zwerger, Tanja

AU - Mercorelli, Paolo

N1 - Conference code: 20

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This paper deals with an analysis and design of Dual Extended Kalman Filters (DKFs) to estimate parameters and state variables in Permanent Magnet Synchronous Machines (PMSMs) to be utilized in a control structure. A dual estimation problem consists of a simultaneous estimation of states of the dynamical system and its parameters using only noisy output observations. In this paper, the limit of an Augmented and Extended Kalman Filter (AEKF) obtained through standard state augmentation to estimate parameters is shown and, alternatively, a DKF approach which is characterized by the use of the state model descriptions in the output of an AEKF is proposed. The two different approaches are analyzed and compared. These results are supported by simulations.

AB - This paper deals with an analysis and design of Dual Extended Kalman Filters (DKFs) to estimate parameters and state variables in Permanent Magnet Synchronous Machines (PMSMs) to be utilized in a control structure. A dual estimation problem consists of a simultaneous estimation of states of the dynamical system and its parameters using only noisy output observations. In this paper, the limit of an Augmented and Extended Kalman Filter (AEKF) obtained through standard state augmentation to estimate parameters is shown and, alternatively, a DKF approach which is characterized by the use of the state model descriptions in the output of an AEKF is proposed. The two different approaches are analyzed and compared. These results are supported by simulations.

KW - Augmented Extended Kalman Filter

KW - Dual Extended Kalman Filter

KW - Parameters estimation

KW - Permanent Magnet Synchronous Machine

KW - Engineering

UR - https://www.scopus.com/pages/publications/85088209353

U2 - 10.1007/978-3-030-50936-1_36

DO - 10.1007/978-3-030-50936-1_36

M3 - Article in conference proceedings

AN - SCOPUS:85088209353

SN - 978-3-030-50935-4

VL - 1

T3 - Advances in Intelligent Systems and Computing

SP - 424

EP - 435

BT - Advanced, Contemporary Control

A2 - Bartoszewicz, Andrzej

A2 - Kabziński, Jacek

A2 - Kacprzyk, Janusz

PB - Springer Verlag

CY - Cham

T2 - 20th Polish Control Conference, PCC 2020

Y2 - 22 June 2020 through 24 June 2020

ER -

Zwerger T, Mercorelli P. Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors. in Bartoszewicz A, Kabziński J, Kacprzyk J, Hrsg., Advanced, Contemporary Control : Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020. Band 1. Cham: Springer Verlag. 2020. S. 424-435. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-50936-1_36

Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors

Abstract

Fachgebiete und Schlagwörter

Zugriff auf Dokument

Fingerprint

Dieses zitieren