Direct Torque and Flux Control of An Asymmetrical Six-phase Induction Motor Supplied with A Three-level SVPWM Inverter Using Neural Networks Classification

In this research paper a three-level six-phase inverter with space vector pulse width modulation (SVPWM)، using two three-level three-phase inverters with 30 degrees phase displacement، is designed. In implementation، neural networks classification is employed for inverter vectors. This inverter is used in a six-phase servo drive system. The using control method is vector control in stator flux reference frame and with a well-known transformation، the six-phase variables are converted to six orthogonal variables. The validity of the proposed method is investigated by six-phase servo drive system simulation.