“Use of a Kalman filter for the creation of a sensor less observer for 11kV and 40MW synchronous motors with external brushless excitation and powered by multilevel converters”.

This thesis presents the design and analysis of a state estimation framework for a brushless synchronous motor with external excitation, intended for high-power applications. A mathematical model of the motor is first developed to accurately describe its dynamic behavior. Based on this model, four different observer structures are formulated and investigated, with particular emphasis on the implementation of the Kalman filter as an optimal state observer. The performance of these observers is compared under various operating conditions through numerical simulations conducted in MATLAB/Simulink. The thesis was carried out in Nidec conversion company during an internship from December 2024 to May 2025.