Title: Sensorless DTC of BDFRG using LMS algorithm for wind energy conversion systems

Authors: Ahmed K. Ibrahim; Mostafa I. Marei; Hamdy S. El-Goharey

Addresses: Electrical Power and Machines Department, Ain-Shams University, Cairo, Egypt ' Electrical Power and Machines Department, Ain-Shams University, Cairo, Egypt ' Electrical Power and Machines Department, Ain-Shams University, Cairo, Egypt

Abstract: This paper presents a new sensorless speed and secondary winding resistance estimation technique for brushless doubly fed reluctance generator (BDFRG) using least mean square (LMS) algorithm. Detailed mathematical derivation of the algorithm is explained and simulation results in MATLAB Simulink are shown for sensorless direct torque control (DTC) of BDFRG using LMS algorithm. A comparison to traditional speed estimation technique for BDFRG using primary winding flux linkage formula in stationary frame is then held to show the advantages of this proposed technique over the traditional method of speed estimation. Power electronics of the drive system is also simulated to consider effect of harmonics injected by electronic switches on both algorithms.

Keywords: brushless doubly fed reluctance generator; BDFRG; direct torque control; DTC; least mean square; LMS; speed estimation; sensorless; wind energy conversion systems; WECS.

DOI: 10.1504/IJIED.2019.102370

International Journal of Industrial Electronics and Drives, 2019 Vol.5 No.1, pp.1 - 10

Received: 07 Dec 2018
Accepted: 24 Jan 2019
Published online: 23 Sep 2019 *

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