Title: A hybrid sensorless control of PMSG wind-power generator with frequency signal injection method and extended Kalman filter

Authors: Lila Hocine; Mohamed Menaa; Krim Yazid

Addresses: Industrial Electrical Systems Laboratory, Faculty of Electronics and Computing, University of Sciences and Technology Houari Boumediene, BP. 32, Bab-Ezzouar, Algiers, 16111, Algeria ' Industrial Electrical Systems Laboratory, Faculty of Electronics and Computing, University of Sciences and Technology Houari Boumediene, BP. 32, Bab-Ezzouar, Algiers, 16111, Algeria ' Industrial Electrical Systems Laboratory, Faculty of Electronics and Computing, University of Sciences and Technology Houari Boumediene, BP. 32, Bab-Ezzouar, Algiers, 16111, Algeria

Abstract: Based on the rotating high-frequency voltage-signal injection technique this paper introduces and compares two different approaches to extract the rotor position information for sensorless low speed control of direct-drive permanent magnet synchronous generator-based wind power system. One of the approaches is to extract the rotor position information from the carrier current of permanent magnet synchronous generator (PMSG) by the traditional bandpass filter. The other one is to use an extended Kalman filter algorithm. The effectiveness of the proposed sensorless low speed control is shown by numerical simulations using MATLAB/Simulink environment. The simulation results show that both control schemes provide an accurate estimate of the position of the PMSG-wind turbine and shaft speed. But extended Kalman filter algorithm improves the efficiency of the high-frequency voltage-signal injection method by eliminate the phase shift introduce by the traditional bandpass filter.

Keywords: wind energy; sensorless; direct-drive permanent magnet synchronous generator; PMSG; maximum power point tracking; MPPT; pitch angle control; high-frequency signal injection; EKF filter.

DOI: 10.1504/IJDSSS.2021.112794

International Journal of Digital Signals and Smart Systems, 2021 Vol.5 No.1, pp.40 - 62

Received: 20 Mar 2019
Accepted: 16 Mar 2020
Published online: 03 Feb 2021 *

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