In this paper, a neural network is designed and learned to accommodate the SVPWM switching method. The selection of SVPWM (digital PWM method) as ANN application was chosen because it is nonlinear problem and more sophisticated problem multilevel inverters. The ANN will be given good results in the real time systems. The learning of neural network was backpropagation method, and the neural network onrput is used to gating the inverter switches, fmally obtained intelligent inverter that responds to any new parameters another of that used. to learning it: Neural network design, learning, inverter output, and harmonic analysis are accomplished by using CU language. The obtained results are verified by comparison with SVPWM inverter. The ANN invmer gives very satisfied results according to the inverter criterions.
Abdalla, I. A. (2008). ARTIFICIAL NEURAL NETWORK BASED SPACE-VECTOR PWM INVERTER. ERJ. Engineering Research Journal, 31(3), 245-249. doi: 10.21608/erjm.2008.69542
MLA
Iinadeddin A. Abdalla. "ARTIFICIAL NEURAL NETWORK BASED SPACE-VECTOR PWM INVERTER". ERJ. Engineering Research Journal, 31, 3, 2008, 245-249. doi: 10.21608/erjm.2008.69542
HARVARD
Abdalla, I. A. (2008). 'ARTIFICIAL NEURAL NETWORK BASED SPACE-VECTOR PWM INVERTER', ERJ. Engineering Research Journal, 31(3), pp. 245-249. doi: 10.21608/erjm.2008.69542
VANCOUVER
Abdalla, I. A. ARTIFICIAL NEURAL NETWORK BASED SPACE-VECTOR PWM INVERTER. ERJ. Engineering Research Journal, 2008; 31(3): 245-249. doi: 10.21608/erjm.2008.69542
)
View on SCiNiTO