2016
DOI: 10.1007/s00170-016-9092-4
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A comparative experimental study of direct torque control based on adaptive fuzzy logic controller and particle swarm optimization algorithms of a permanent magnet synchronous motor

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Cited by 21 publications
(8 citation statements)
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“…Intelligent techniques, using two AFLC and PSO, to enhance DTC performance of PMSG based-WECS are proposed in [59]. AFLC replaces the traditional-comparators & switching-table and regulates real time PIparameters.…”
Section: Optimization Approach For Permanent Magnet Synchronous Genermentioning
confidence: 99%
See 1 more Smart Citation
“…Intelligent techniques, using two AFLC and PSO, to enhance DTC performance of PMSG based-WECS are proposed in [59]. AFLC replaces the traditional-comparators & switching-table and regulates real time PIparameters.…”
Section: Optimization Approach For Permanent Magnet Synchronous Genermentioning
confidence: 99%
“…A comparative experimental study of direct torque control based on adaptive fuzzy logic controller and particle swarm optimization algorithms of a PMSG [59].…”
mentioning
confidence: 99%
“…However the control of DSIM is considered to be complicated because the difficulty of obtaining the decoupling of the torque and the flux. To overcome these difficulties, high-performance algorithms have been developed [7][8][9][10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…Direct torque control (DTC) is one of the most control strategies, that used in electrical machine drive for different types and investigated in many literatures [11][12][13][14]. Unfortunately, this approach has a drawback such as underside torque and speed ripples due to some internal computational defects in control action, this includes switching frequency and voltage vector selection [15][16][17][18]. However, Fractional model control has appeared as an attractive and powerful control method in electrical machine drives [8][9][10].…”
Section: Introductionmentioning
confidence: 99%