In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of

Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)

controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in

switching select stator voltage. We estimated the rotor speed by using the Model Reference

Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,

stator flux and current ripples and especially improve system good dynamic performance and

robustness in high and low speeds-In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of

Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)

controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in

switching select stator voltage. We estimated the rotor speed by using the Model Reference

Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,

stator flux and current ripples and especially improve system good dynamic performance and

robustness in high and low speeds..