A modified DTC for induction motor drive system fed by Indirect Matrix Converter using Active Learning Method

Faraji, V.; Aghasi, M.; Khaburi, Davood Arab; Ghorbani, Mehrdad

doi:10.1109/pedstc.2011.5742446

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…ey discuss their work aspirations and suggest diminishing exhibits. Effects have been introduced on limited models [10]. e device's key function is the creation of a wireless sensor network in 2 Scientific Programming various regions and multiple converters [11].…”

Section: Research Backgroundmentioning

confidence: 99%

IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method

Kumar

Gupta³

et al. 2022

Scientific Programming

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In this work, we propose and encourage the sending of an IoT-based domestic systems conditions small scale programmable framework for grid-tie matrix converter that can efficiently be executed with low-control equipment plan with quick execution capacity. The proposed framework for matrix grid-tie converter has been performed based on an adaptive fuzzy sliding technique and furthermore monitors the grid status through an IoT server. The adaptive fuzzy sliding method was connected to the framework, and a unity power factor was fulfilled alongside the wanted sinusoidal input and output results. The proposed AFS-based matrix converter has been validated through simulation using MATLAB software. The control clock signals are generated for the positive and negative clock pulses of the sequence. Here the sinusoidal reference signal is compared with the switching frequency of the triangular carrier frequency. The hardware results were also verified to validate the simulation. When diverged from other standard techniques, the proposed AFS technique has achieved 97.23% efficiency in full load conditions.

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Section: Research Backgroundmentioning

confidence: 99%

IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method

Kumar

Gupta³

et al. 2022

Scientific Programming

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“…“Casade” is the first to introduce the use MC with the direct torque control (DTC) in Reference 17. Several research works about the adaptability of the DTC with different MC topologies for improving the dynamics performances such as minimize the ripples of the torque and flux, the estimation of control variables (flux, torque), and resolving the weakness point of the DTC for MC have been presented by several researches 18‐20 . The DTC adaptation to control the indirect matrix converter (IMC) has been reported in References 9, 21, and 22, this technique is based on modeling the MC by two stages (rectifier and inverter stages), the rectifier stage is controlled by the SVM technique for amplifying the virtual voltage of the DC‐link and adjust the input power factor, while the inverter is controlled by DTC 8,23,24 .…”

Section: Introductionmentioning

confidence: 99%

Adaptive optimized DTC‐SVM using metaheuristic Bat algorithm for DSIM fed by IMC based on robust synergetic speed controller

Moati

Kouzi

Iqbal

2020

Int Trans Electr Energ Syst

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High‐performance doubly fed induction machine drive system using predictive direct torque control drive system fed by indirect matrix converters

Behnia

Faraji

Aghasi

et al. 2013

Int J Numerical Modelling

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SUMMARY This paper presents a novel predictive direct torque control for doubly fed induction machine based on indirect matrix converter (IMC), which is characterized by its simple structure, minimal‐torque ripple, and constant switching frequency. Nowadays, the control strategies based on predictive methods have proved their efficiency to improve drive systems capabilities. So, in this paper, one of the best predictive methods that have recently been suggested for doubly fed induction machine drive systems is applied to IMC. The purpose of this combination is to modify the control parameters and size/volume reduction of drive system structure, which is difficult to achieve in conventional systems based on voltage source inverters. The good tracking behavior with reduced torque and flux ripple for both motoring and generating modes as well as removing bulky electrolytic capacitor from the DC link of a converter resulted by using three vectors, two active vectors together with one zero vector per switching period, and applying these vectors to the inverter stage of IMC. To improve the motor drive system performance and reduce losses caused by snubber circuits, the rectifier four‐step commutation method in rectifier bridge is used. In the inverter stage, the predictive direct torque control method is employed. The simulation results of the proposed model confirm its effectiveness and accuracy. Copyright © 2013 John Wiley & Sons, Ltd.

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A modified DTC for induction motor drive system fed by Indirect Matrix Converter using Active Learning Method

Cited by 6 publications

References 11 publications

IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method

IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method

Adaptive optimized DTC‐SVM using metaheuristic Bat algorithm for DSIM fed by IMC based on robust synergetic speed controller

High‐performance doubly fed induction machine drive system using predictive direct torque control drive system fed by indirect matrix converters

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