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All Journal International Journal of Electrical and Computer Engineering
Geeta Kamalapur
Poojya Doddappa Appa College of Engineering
Computer Science & IT Electrical & Electronics Engineering

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Direct torque control and dynamic performance of induction motor using fractional order fuzzy logic controller Geeta Kamalapur; Mruttanjaya S. Aspalli
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i4.pp3805-3816

Abstract

Conventional direct torque control (DTC) is one of the best control systems for regulating the torque of an induction motor (IM). However, the DTC’s enormous waves in flux and torque cause acoustic noise that degrades control performance, especially at low speeds due to the DTC’s low switching frequency. Direct torque control systems, which focus just on torque and flux, have been proposed as a solution to these problems. In order to improve DTC control performance, this work introduces a fractional-order fuzzy logic controller method. The objective is to analyze this technique critically with regard to its efficacy in reducing ripple, its tracking speed, its switching loss, its algorithm complexity, and its sensitivity to its parameters. Simulation in MATLAB/Simulink verifies the anticipated control approach’s performance.
Co-Authors Mruttanjaya S. Aspalli