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| Modern improvement techniques ofdirect torque control for inductionmotor drives - a review |
| Najib El Ouanjli,Aziz Derouich,Abdelaziz El Ghzizal,Saad Motahhir,Ali Chebabhi,Youness El Mourabit,Mohammed Taoussi |
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| Abstract: |
| 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. |
| Key words: Induction machine, Direct torque Control (DTC), Fuzzy logic (FL), Neural network (NN), Sliding mode(SG), Genetic algorithm (GA) |
| DOI：10.1186/s41601-019-0125-5 |
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