Sensorless DTC of Induction Motor Drive based on Full Order Extended Kalman Filter Observer

The induction motor is by far the most popular motor in the industry because of its benefits, which include low cost, ease of design and maintenance, and most importantly, the lack of a brush-collector assembly. However, high-performance power semiconductors, which make up the static converters connected to the control systems, have made it feasible to design systems that use induction motors running at varying frequencies. A new frontier in control was made possible by the introduction of direct torque control (DTC) in the middle of the 1980s. Direct torque management for an induction motor without a mechanical speed sensor is the primary focus of the work reported in this paper. Control strategies without mechanical sensors aim to develop high-performance drives, by freeing themselves from direct measurement of speed or position, which is then replaced by a calculation algorithm to reconstruct the motor speed from measurable electrical quantities. This work focuses on leveraging the high-gain Kalman filter observer to create an IM speed observation algorithm driven by a voltage inverter. After the endeavor, we will give simulation results to demonstrate the effectiveness of this approach.