ANFIS Based Direct Torque Control of Induction Motor Drives


  • Devendra Kumar Pandey Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh 273010, India
  • V. K. Giri Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh 273010, India


ANFIS, Direct Torque Control, Induction Motor, Neuro-Fuzzy Control


This paper presents an adaptive Neural-Fuzzy control scheme to implement direct torque control (DTC) of induction motor (IM) drives. The Adaptive Neural-Fuzzy Inference System (ANFIS) is an intelligent control scheme that brings together the attributes of both Fuzzy Logic Control (FLC) & Artificial Neural Networks (ANN). Operation of the suggested ANFIS Controller is evaluated against that of the Proportional-Integral (PI) controller used in Space Vector Modulated DTC (SVM-DTC), and the two systems have been compared with classical DTC as well. The results of scalar speed control method have also been presented for the purpose of comparison. The ANFIS based controllers can be more economically developed, cover a wider range of operating conditions and are easier to adapt. The simulation results show that substituting the PI controller with the ANFIS controller has considerably reduced the ripples and overshoot in torque, as well as the momentary speed fluctuations due to step changes in load. The system implementation has taken place by the means of MATLAB/Simulink application with the aid of Fuzzy Logic Toolbox.


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How to Cite

Devendra Kumar Pandey, & V. K. Giri. (2022). ANFIS Based Direct Torque Control of Induction Motor Drives. iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 10(8). Retrieved from