Sensorless DTC of BDFRG using LMS algorithm for wind energy conversion systems
by Ahmed K. Ibrahim; Mostafa I. Marei; Hamdy S. El-Goharey
International Journal of Industrial Electronics and Drives (IJIED), Vol. 5, No. 1, 2019

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.

Online publication date: Mon, 23-Sep-2019

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