Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system

Mohamed Abdelrahem; Christoph Hackl; Ralph Kennel

doi:10.1109/SBMicro.2017.7990840

Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system

Mohamed Abdelrahem
, Christoph Hackl
, Ralph Kennel

Lehrstuhl für Hochleistungs-Umrichtersysteme

Technische Universität München

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

3 Zitate (Scopus)

Abstract

This paper presents a study and experimental verification of a sensorless control strategy for permanent-magnet synchronous generators (PMSGs) based variable-speed wind turbines. The proposed method utilizes an extended Kaiman filter (EKF) to estimate rotor speed, rotor position, and mechanical torque of the PMSG. The nonlinear state space model of the PMSG is derived taking into account the dynamics of the mechanical system. Implementation and tuning of the EKF is described in detail. Experimental results using a dSPACE DS1007 R&D controller board-based realtime system and a 14.5 [kW] PMSG are presented to verify the feasibility of the proposed sensorless control method. Furthermore, the performance of the proposed EKF is investigated under variations of the PMSG parameters.

Originalsprache	Englisch
Titel	PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)	9783800744244
DOIs	https://doi.org/10.1109/SBMicro.2017.7990840
Publikationsstatus	Veröffentlicht - 2017
Veranstaltung	2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 - Nuremberg, Deutschland Dauer: 16 Mai 2017 → 18 Mai 2017

Publikationsreihe

Name	PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

Konferenz

Konferenz	2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
Land/Gebiet	Deutschland
Ort	Nuremberg
Zeitraum	16/05/17 → 18/05/17

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

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10.1109/SBMicro.2017.7990840

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Abdelrahem, M., Hackl, C., & Kennel, R. (2017). Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system. in PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management Artikel 7990840 (PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SBMicro.2017.7990840

Abdelrahem, Mohamed ; Hackl, Christoph ; Kennel, Ralph. / Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system. PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. Institute of Electrical and Electronics Engineers Inc., 2017. (PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management).

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title = "Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system",

abstract = "This paper presents a study and experimental verification of a sensorless control strategy for permanent-magnet synchronous generators (PMSGs) based variable-speed wind turbines. The proposed method utilizes an extended Kaiman filter (EKF) to estimate rotor speed, rotor position, and mechanical torque of the PMSG. The nonlinear state space model of the PMSG is derived taking into account the dynamics of the mechanical system. Implementation and tuning of the EKF is described in detail. Experimental results using a dSPACE DS1007 R\&D controller board-based realtime system and a 14.5 [kW] PMSG are presented to verify the feasibility of the proposed sensorless control method. Furthermore, the performance of the proposed EKF is investigated under variations of the PMSG parameters.",

author = "Mohamed Abdelrahem and Christoph Hackl and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} VDE VERLAG GMBH · Berlin · Offenbach.; 2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 ; Conference date: 16-05-2017 Through 18-05-2017",

year = "2017",

doi = "10.1109/SBMicro.2017.7990840",

language = "English",

series = "PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management",

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Abdelrahem, M, Hackl, C & Kennel, R 2017, Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system. in PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management., 7990840, PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, Institute of Electrical and Electronics Engineers Inc., 2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017, Nuremberg, Deutschland, 16/05/17. https://doi.org/10.1109/SBMicro.2017.7990840

Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system. / Abdelrahem, Mohamed; Hackl, Christoph; Kennel, Ralph.
PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. Institute of Electrical and Electronics Engineers Inc., 2017. 7990840 (PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system

AU - Abdelrahem, Mohamed

AU - Hackl, Christoph

AU - Kennel, Ralph

PY - 2017

Y1 - 2017

N2 - This paper presents a study and experimental verification of a sensorless control strategy for permanent-magnet synchronous generators (PMSGs) based variable-speed wind turbines. The proposed method utilizes an extended Kaiman filter (EKF) to estimate rotor speed, rotor position, and mechanical torque of the PMSG. The nonlinear state space model of the PMSG is derived taking into account the dynamics of the mechanical system. Implementation and tuning of the EKF is described in detail. Experimental results using a dSPACE DS1007 R&D controller board-based realtime system and a 14.5 [kW] PMSG are presented to verify the feasibility of the proposed sensorless control method. Furthermore, the performance of the proposed EKF is investigated under variations of the PMSG parameters.

AB - This paper presents a study and experimental verification of a sensorless control strategy for permanent-magnet synchronous generators (PMSGs) based variable-speed wind turbines. The proposed method utilizes an extended Kaiman filter (EKF) to estimate rotor speed, rotor position, and mechanical torque of the PMSG. The nonlinear state space model of the PMSG is derived taking into account the dynamics of the mechanical system. Implementation and tuning of the EKF is described in detail. Experimental results using a dSPACE DS1007 R&D controller board-based realtime system and a 14.5 [kW] PMSG are presented to verify the feasibility of the proposed sensorless control method. Furthermore, the performance of the proposed EKF is investigated under variations of the PMSG parameters.

UR - https://www.scopus.com/pages/publications/85039905826

U2 - 10.1109/SBMicro.2017.7990840

DO - 10.1109/SBMicro.2017.7990840

M3 - Conference contribution

AN - SCOPUS:85039905826

T3 - PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

BT - PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017

Y2 - 16 May 2017 through 18 May 2017

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Abdelrahem M, Hackl C, Kennel R. Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system. in PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. Institute of Electrical and Electronics Engineers Inc. 2017. 7990840. (PCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management). doi: 10.1109/SBMicro.2017.7990840

Implementation of extended kaiman filter for PMSG considering the dynamics of the mechanical system

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