Sensorless DFIG System Control via an Electromagnetic Torque Based on MRAS Speed Estimator

Abdelbadia Lama (), Hicham Serhoud and Mohamed Toufik Benchouia
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Abdelbadia Lama: LGEB Laboratory, University of Biskra BP, 145 R.P., Biskra 07000, Algeria
Hicham Serhoud: Department of Electrical Engineering, University of El-Oued, El-Oued, P.O. Box 789, Algeria
Mohamed Toufik Benchouia: LGEB Laboratory, University of Biskra BP, 145 R.P., Biskra 07000, Algeria

Energies, 2024, vol. 17, issue 19, 1-15

Abstract: The main goals of this research are to develop a method for obtaining the rotor position and speed in a doubly fed induction generator (DFIG) without using sensors in a variable-speed wind turbine installation. The considered method is based on the Model Reference Adaptive System (MRAS). According to this method, electromagnetic torque is used as an error variable for the adaptation process in order to refine the estimate. A good assessment is very important when trying to put into place any strategy that can control the behavior of a DFIG. This method of estimation functions by comparing the actual performance of the DFIG with that of a reference model and adjusting the system parameters to reduce any mismatch between the two. One notable advantage of this developed estimator is its stability across a broad range of speeds. Additionally, it is designed to exhibit resilience in the face of uncertainties in machine parameters. The proportional integral (PI) gains for the MRAS estimator are determined via pole placement. To assess and validate the entire DFIG model and the sensorless estimation method, comprehensive simulations are carried out using MATLAB/Simulink.

Keywords: DFIG; FOC; electromagnetic torque observer; sensorless control; MRAS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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