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

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.

• doubly fed induction generator
• sensorless speed estimation
• rotor position estimation
• electromagnetic torque
• variable speed wind turbine
• pole placement
• PI controller tuning
• robustness to parameter uncertainty

• 7 — Énergie propre et d’un coût abordable
• 9 — Industrie, innovation et infrastructure

• Sensorless Control of Electric Motors
• Wind Turbine Control Systems
• Electric Motor Design and Analysis
• doubly fed induction generator
• sensorless speed estimation
• rotor position estimation
• electromagnetic torque
• variable speed wind turbine
• pole placement
• PI controller tuning
• robustness to parameter uncertainty
• Electrical and Electronic Engineering
• Engineering