학술논문

Modern improvement techniques of direct torque control for induction motor drives - a review
Document Type
article
Source
Protection and Control of Modern Power Systems, Vol 4, Iss 1, Pp 1-12 (2019)
Subject
Induction machine
Direct torque Control (DTC)
Fuzzy logic (FL)
Neural network (NN)
Sliding mode (SG)
Genetic algorithm (GA)
Distribution or transmission of electric power
TK3001-3521
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Language
English
ISSN
2367-2617
2367-0983
Abstract
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.