Optimization of model reference adaptive system based speed estimation for speed sensorless control of induction motors via differential evolution algorithm

Barut M., Yalcin M., Zerdali E., Demir R.

11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013, Caen, France, 3 - 05 July 2013, vol.46, pp.27-32 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 46
  • Doi Number: 10.3182/20130703-3-fr-4038.00115
  • City: Caen
  • Country: France
  • Page Numbers: pp.27-32
  • Kayseri University Affiliated: No

Abstract

This study proposes an optimally tuned Model Reference Adaptive System (MRAS) based speed estimator using back electromotive force (EMF) vector, which does not require pure integration. The PI (Proportional and Integral) gain coefficients in the speed estimator are optimally determined by utilizing Differential Evolution (DE) algorithm. The performance of the speed estimator is tested with both simulation and real-time experiments for a wide speed range. The obtained results verify the desired performance of speed estimation. © IFAC.