Modern improvement techniques of direct torque control for induction motor drives - a review

被引:1
|
作者
Najib El Ouanjli
Aziz Derouich
Abdelaziz El Ghzizal
Saad Motahhir
Ali Chebabhi
Youness El Mourabit
Mohammed Taoussi
机构
[1] Sidi Mohamed Ben Abdellah University,Laboratory of Production Engineering, Energy and Sustainable Development, Higher School of Technology
[2] University of Bordj Bou Arreridj,Faculty of Sciences and Technology
[3] Sidi Mohamed Ben Abdellah University,Laboratory of Systems Integration and Advanced Technologies, Faculty of Sciences Dhar El Mahraz
关键词
Induction machine; Direct torque Control (DTC); Fuzzy logic (FL); Neural network (NN); Sliding mode (SG); Genetic algorithm (GA);
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摘要
Conventional direct torque control (DTC) is one of the excellent control strategies available to control the torque of the induction machine (IM). However, the low switching frequency of the DTC causes high ripples in the flux and torque that leads to an acoustic noise which degrades the control performances, especially at low speeds. Many direct torque control techniques were appeared to remedy these problems by focusing specifically on the torque and flux. In this paper, a state of the art review of various modern techniques for improving the performance of DTC control is presented. The objective is to make a critical analysis of these methods in terms of ripples reduction, tracking speed, switching loss, algorithm complexity and parameter sensitivity. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for academic and industrial researchers.
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