A Direct Torque Control (DTC) method for dual three-phase induction motors using ANFIS

In this paper, an adaptive neural fuzzy inference system (ANFIS) is employed for the control of a PWM based direct torque control (DTC), driving a dual three-phase induction machine (DTPIM). DTPIM has two sets of three-phase windings spatially phase shifted by gamma (=60deg in this research) electrical degrees. The proposed control scheme uses a fuzzy inference system (FIS) to modulate the phase of stator voltage vector applied to the DTPIM. The simulation results show that the system performances are satisfactory using the proposed method.