ANFIS Speed Controller of IM Drives with Three-level DTC-based Neural Network
Direct torque control (DTC) is a control technique in AC drive systems to obtain high-performance torque control. In this paper, we use a technique based on the neural network and ANFIS controller in order to reduce the torque ripple, stator flux ripple and THD value of stator current in the induction machine (IM). The effect is highlighted by considering the machine controlled by the 24 sectors DTC. In this paper, we propose to replace conventional selector states of switches inverter by a neural selector able to generate the same signals to control this inverter, on the other hand, the classic PI controller of speed is proposed based on Adaptive Neuro Fuzzy Inference System (ANFIS) controller. Simulation results are presented and show the effectiveness of the proposed control scheme.
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