Model Reference Adaptive Control of Five-Phase IPM Motors Based on Neural Network

@article{Guo2011ModelRA,
  title={Model Reference Adaptive Control of Five-Phase IPM Motors Based on Neural Network},
  author={Lusu Guo and Leila Parsa},
  journal={IEEE Transactions on Industrial Electronics},
  year={2011},
  volume={59},
  pages={1500-1508}
}
This paper presents a novel model reference adaptive control of five-phase interior-permanent-magnet (IPM) motor drives. The primary controller is designed based on an artificial neural network (ANN) to simulate the nonlinear characteristics of the system without knowledge of accurate motor models or parameters. The proposed motor drive decouples the torque and flux components of five-phase IPM motors by applying multiple-reference-frame transformation. Therefore, the motor can be easily driven… CONTINUE READING
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