Modified Switching Table-Based Direct Torque Control of Six-Phase Induction Motor Drive

Mo, Suhel A Shaikh; Maurya, Rakesh; Gupta, Nitin

doi:10.1080/15325008.2019.1637970

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…This last uses three inputs: the digital values of errors (HTem and Hφr) and the rotor flux sector. In order to understand the fundamental idea of the selection process, the DTC principal was investigated, where the development of the electromagnetic torque and the rotor flux equations give Equation ( 16) [35]: The optimal vector selection was based on the 12-DTC switching table, which is presented in Table 2. This last uses three inputs: the digital values of errors (H Tem and H ϕr ) and the rotor flux sector.…”

Section: Direct-torque-control-based Twelve Sectors Applied To Wt-dfig Systemmentioning

confidence: 99%

“…This last uses three inputs: the digital values of errors (H Tem and H ϕr ) and the rotor flux sector. In order to understand the fundamental idea of the selection process, the DTC principal was investigated, where the development of the electromagnetic torque and the rotor flux equations give Equation ( 16) [35]:…”

Section: Direct-torque-control-based Twelve Sectors Applied To Wt-dfig Systemmentioning

confidence: 99%

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Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

et al. 2021

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A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of the DFIG make the controller design of this kind of system a challenging work. Thus, in this study, a novel control strategy was proposed to design the desired system dynamics, to highlight the efficacy of the proposed system, and to improve the performance of the closed-loop system. The proposed controller combines the twelve-sector direct torque control (12-DTC) and the fuzzy controller with modified rules to solve the limitations and shortcomings of the usual methods for the WT-DFIG system. All operation modes, successively and continually, were considered to reflect the true operation of WT-DFIG system subject to random wind speeds. The aims of this work was to ensure an optimal operation of the wind generator, extracting maximum power in the zone II of the WT characteristic, and limiting this power in its maximum value in the case (zone III), to transmit the power generated by the DFIG to the grid-side with minimum losses in the disturbances related to DFIG. Extensive numerical simulations were performed under MATALB/Simulink, where the proposed fuzzy twelve direct torque control (F12-DTC) was compared with conventional nonlinear controls: conventional DTC (C-DTC) and 12-DTC. The simulation results demonstrated clearly that the proposed one had the highest performance and robustness, with a significant reduction in rotor flux and electromagnetic torque ripples and better-generated power quality with low currents’ THD over the conventional strategies (C-DTC and 12-DTC).

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Section: Direct-torque-control-based Twelve Sectors Applied To Wt-dfig Systemmentioning

confidence: 99%

Section: Direct-torque-control-based Twelve Sectors Applied To Wt-dfig Systemmentioning

confidence: 99%

Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

et al. 2021

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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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A new 48-sector space vector decomposition-based SVM-DTC for performance improvement in direct torque-controlled six-phase asymmetrical induction motor drive

Desai

Nanoty

2023

Electr Eng

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Modified Switching Table-Based Direct Torque Control of Six-Phase Induction Motor Drive

Cited by 6 publications

References 29 publications

Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

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

A new 48-sector space vector decomposition-based SVM-DTC for performance improvement in direct torque-controlled six-phase asymmetrical induction motor drive

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