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

Mohamed Abdelrahem, Christoph Hackl, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationPCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800744244
DOIs
StatePublished - 2017
Event2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 - Nuremberg, Germany
Duration: 16 May 201718 May 2017

Publication series

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

Conference

Conference2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
Country/TerritoryGermany
CityNuremberg
Period16/05/1718/05/17

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