Performance of a sensorless speed control for induction motor using dtfc strategy and intelligent techniques

Abstract EN

In This paper, the authors propose a Sensor less 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.