“…Sensorless speed estimate methods rely on the observation of specific motor parameters and the use of mathematical models to determine the rotor speed. Stator current, voltage, and back electromotive force (EMF) or flux are typical estimation parameters [ 9 , 10 ]. The first technique depends on machine model comprising the Model Reference Adaptive System (MRAS) [11] , [12] , [13] , [14] , Extended Kalman Filtering approaches (EKF) [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , Speed Estimators (SE) [25] , [26] , [27] , [28] , Sliding Mode Observer (SMO) [ 26 , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] ], reduced order nonlinear observer [ 23 , [36] , [37] , [38] ], Artificial Intelligence methods (AI) [39] , [40] , [41] , [42] , [43] , Direct calculation and Adaptive observers [44] , [45] , [46] , [47] , [48] .…”