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This paper deals with the performance analysis of three phase Induction Motor (IM) with Direct Torque Control based Space Vector Modulation (DTC-SVM). The DTC-SVM scheme is a kind of high-performance control of IM drives to improve the ripples of torque and flux in steady state, which one drawback of conventional DTC. DTC-SVM has three Proportional-Integral (PI) controllers, one used as the PI speed controller and other PI flux controller and PI torque controller, which are utilized to produce the stator voltage references (Vds and Vqs) respectively. To improve the performance of motor we used the Self-Tuning Fuzzy PI (STFPI) controller and Adaptive Neuro Fuzzy Inference System (ANFIS) controller instead of PI controllers in DTC-SVM. The simulation results carried out using MATLAB/Simulink software package show that the response of speed motor with ANFIS is improved, more robustness, and reaches to the reference value faster than a conventional PI controller and STFPI controller and also reduced the torque ripple and less steady state error.

SPEED CONTROL OF DTC-SVM FOR INDUCTION MOTOR DRIVE USING SELF-TUNING FUZZY PI CONTROLLER ANN ANFIS