There exists a combination of stator voltage and frequency which results in maximum efficiency for a given induction motor under a specified speed and load condition. This optimal operating point is calculated over the complete speed and load torque range using an Artificial Neural Network (ANN). It is shown that maximum efficiency can be achieved compared to the conventional volthertz control method. Theoretical results are presented as well as an experimental confirmation of them.
El-Khouly, F., & Abdel Kader, F. (2000). Artificial Neural Network - based Efficiency Maximization of a Variable Frequency Induction Motor Drive. ERJ. Engineering Research Journal, 23(2), 247-259. doi: 10.21608/erjm.2000.71349
MLA
F.M. El-Khouly; F.E. Abdel Kader. "Artificial Neural Network - based Efficiency Maximization of a Variable Frequency Induction Motor Drive". ERJ. Engineering Research Journal, 23, 2, 2000, 247-259. doi: 10.21608/erjm.2000.71349
HARVARD
El-Khouly, F., Abdel Kader, F. (2000). 'Artificial Neural Network - based Efficiency Maximization of a Variable Frequency Induction Motor Drive', ERJ. Engineering Research Journal, 23(2), pp. 247-259. doi: 10.21608/erjm.2000.71349
VANCOUVER
El-Khouly, F., Abdel Kader, F. Artificial Neural Network - based Efficiency Maximization of a Variable Frequency Induction Motor Drive. ERJ. Engineering Research Journal, 2000; 23(2): 247-259. doi: 10.21608/erjm.2000.71349
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