2017 IEEE Region 10 Humanitarian Technology Conference (R10-Htc) 2017
DOI: 10.1109/r10-htc.2017.8289005
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Fuzzy logic based matrix converter controlled indution motor drive

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Cited by 9 publications
(4 citation statements)
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“…Table 2 shows the rules generated for the implementation. The degree of truth that a particular input has with the rules is measured and contributes to a specific output behavior [27,31,32]. The output of the FIS is finally converted into crisp values to be interpreted.…”
Section: Fuzzy Inferencing Control System (Fis)mentioning
confidence: 99%
“…Table 2 shows the rules generated for the implementation. The degree of truth that a particular input has with the rules is measured and contributes to a specific output behavior [27,31,32]. The output of the FIS is finally converted into crisp values to be interpreted.…”
Section: Fuzzy Inferencing Control System (Fis)mentioning
confidence: 99%
“…However, MPC requires complex implementation as compared to linear controllers. Meanwhile, in the single-phase on-board bidirectional charger proposed by Matrix converter [43,44] Motor drives This converter is sensitive to power source distortion due to the direct connection between source and load, and the maximum output voltage can be 0.866 times the input voltage…”
Section: Control Strategies Of Energy-efficient Convertersmentioning
confidence: 99%
“…Te researchers have developed many soft computing strategies in the literature to reduce the harmonics in the grid-connected matrix converters. For optimizing the cost function in soft computing, numerous optimization techniques are suggested, such as PSO [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], fuzzy logic [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], neuro-fuzzy [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], genetic algorithm …”
Section: Introductionmentioning
confidence: 99%