Implementation of Extended Kalman Filter for PMSG Considering the Dynamics of the Mechanical System
Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Abdelrahem, M.; Hackl, C.; Kennel, R.
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 Kalman 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.
Book / Congress title:
Proceedings of the PCIM Europe 2017; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Organization:
VDE
Date of congress:
16-18 May 2017
Year:
2017
Quarter:
2. Quartal
Year / month:
2017-05
Month:
May
Print-ISBN:
978-3-8007-4424-4
Reviewed:
ja
Language:
en
Semester:
SS 17
TUM Institution:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik