Real-Time Verification of AI Based Rotor Position Estimation Techniques for a 6/4 Pole Switched Reluctance Motor Drive

@article{Paramasivam2007RealTimeVO,
  title={Real-Time Verification of AI Based Rotor Position Estimation Techniques for a 6/4 Pole Switched Reluctance Motor Drive},
  author={Sakthivel Paramasivam and Subramanian Vijayan and M. Vasudevan and R. Arumugam and Ramesh Krishnan},
  journal={IEEE Transactions on Magnetics},
  year={2007},
  volume={43},
  pages={3209-3222}
}
This paper presents real-time verification of an artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) based rotor position estimation techniques for a 6/4 pole switched reluctance motor (SRM) drive system. The techniques estimate rotor position by measuring the three-phase voltages and currents and using magnetic characteristics of the SRM, with the aid of an ANN and ANFIS, in real-time environments. The rotor position estimating techniques are used in a high… CONTINUE READING
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