Researchers are exploring ways to improve the efficiency of induction motor drives. Some studies focus on sensorless control methods, including model reference adaptive system (MRAS) observers and artificial neural network (ANN) based direct torque control. The approaches being investigated appear to involve various techniques, including adaptive loss model control and prescribed convergence law, with applications in systems such as pumping and photovoltaic water pumping.