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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Hima Bindu Eluri
Geethanjali College of Engineering and Technology
Control & Systems Engineering Electrical & Electronics Engineering

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Sliding-mode fuzzy logic controller based direct torque control and ripple minimization of induction motors S. Sujitha; Hima Bindu Eluri; P. B. Savitha; S. Venkateshwarlu
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp1714-1727

Abstract

Conventional direct torque control is one of the most effective strategies for managing the torque of an induction machine (DTC), which is one of the most common types of machines. Instead, the DTC's inadequate control ability is made worse at low speeds by the audible flux and torque waves that are generated by its extremely low switching frequency. This is because the DTC's switching frequency is exceedingly low. In an effort to address these concerns, a variety of direct torque control strategies focused solely on flux and torque as their primary concerns. An improvement in DTC control and the elimination of ripples in induction motors are the goals of this research, which introduces a sliding mode fuzzy logic controller technique. The complexity of the algorithm, sensitivity of the parameters, the tracking speed, the switching loss, and the ripple reduction properties of the technique will all be thoroughly investigated. Simulation of the control mechanism is performed with MATLAB/Simulink in order to verify that it functions as intended.
Co-Authors P. B. Savitha S. Sujitha S. Venkateshwarlu