Speed-sensorless predictive torque control of IM based on the adaptive fading extended Kalman filter

Yıldız R., Demir R., Barut M.

IV. International Turkic World Congress on Science and Engineering, Niğde, Turkey, 23 - 24 June 2022, pp.82-93

  • Publication Type: Conference Paper / Full Text
  • City: Niğde
  • Country: Turkey
  • Page Numbers: pp.82-93
  • Kayseri University Affiliated: Yes

Abstract

In this paper, a predictive torque controlled IM drive based on the adaptive fading extended Kalman filter (AFEKF) is designed and tested in simulations. Contrary to the other studies using stator currents and/or rotor mechanical speed in the measurement matrix, the proposed AFEKF based observer estimating the stationary axis component of rotor fluxes, rotor mechanical speed, and load torque uses the rotor fluxes in the measurement matrix. Thus, rotor flux errors obtained by voltage and current models of the IM are used in the calculations of the posteriori values of the estimations. Moreover, by using the estimated load torque in the feed-forward control loop, it is aimed to improve the torque response of the model predictive torque-controlled IM drive. The simulation results demonstrate the robustness and the tracking capability of the IM drive system under a challenging scenario that contains a wide speed range operation of the IM.