Comparison of adaptive Neuro-Fuzzy-based space-vector modulation for two-level inverter

International Journal of Electrical Power and Energy Systems

Volumn 38, Issue 1, 2012, Pages 9-19

  Durgasukumar, G ^a   Pathak, M K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Adaptive Neuro Fuzzy system (ANFIS); Digital space kit (DS1104); Induction motor; Neural Network; Space Vector Modulation (SVM); Two level inverter

Indexed keywords

DAMAGE DETECTION; DIGITAL STORAGE; ELECTRIC INVERTERS; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INDUCTION MOTORS; LEARNING ALGORITHMS; MODULATION; NETWORK LAYERS; NEURAL NETWORKS; PULSE WIDTH MODULATION; SWITCHING FREQUENCY; VARIABLE SPEED DRIVES; VECTOR SPACES; VECTORS; VOLTAGE CONTROL;

ADAPTIVE NEURO FUZZY SYSTEM; DIGITAL SPACE; HYBRID LEARNING ALGORITHM; OPTIMAL PULSE WIDTH MODULATION; SPACE VECTOR MODULATIONS (SVM); TOTAL HARMONIC DISTORTION (THD); TWO-LEVEL INVERTERS; VARIABLE FREQUENCY DRIVES;

FUZZY INFERENCE;

EID: 84862017963     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2011.10.017     Document Type: Article

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