Robust model predictive control for induction motor drive using disturbance observer with MRAS speed estimator

Abstract

Predictive torque control (PTC) has a similar architecture to direct torque control (DTC). Instead of using a look-up switching table and hysteresis comparators, this technique assesses the torque and stator flux as a cost function. It incorporates the inverter model into the control design and avoids the use of any modulation bloc. sensorless predictive torque control is investigated in this paper. The use of a sensorless algorithm can reduce the cost of the drive while also increasing its reliability. Dual observer structures will be introduced into the overall PTC scheme in this work. As a speed estimator, the model reference adaptive system (MRAS) is proposed. Then, apply a load disturbance observer (DOB). This work proposes an improvement to the external speed control loop. The DOB can assure precise speed monitoring and increase the speed loop's disturbance rejection performance in addition to estimating the applied load torque. A numerical simulation utilizing MATLAB/Simulink software is used to verify the effectiveness of the proposed algorithms