Parameter identification of induction motor model by means of state space-vector model output error minimization

@article{Accetta2014ParameterIO,
  title={Parameter identification of induction motor model by means of state space-vector model output error minimization},
  author={Angelo Accetta and Francesco Alonge and Maurizio Cirrincione and Marcello Pucci and Antonino Sferlazza},
  journal={2014 International Conference on Electrical Machines (ICEM)},
  year={2014},
  pages={843-849}
}
This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of an Induction Machines (IM), and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences between the measured stator current direct (sD) and quadrature (sQ) components and the corresponding estimated by the IM state model. This method exploits an entire start-up transient of the IM to estimate all of the 4… CONTINUE READING

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