Sensorless direct vector control of induction motors at low and zero speed

Murat Barut, Seta Bogosyan*, Metin Gokasan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This study aims an improved estimation performance for the speed sensorless control of induction motors (IMs) over a very low/zero speed range. For this purpose, an Extended Kalman Filter (EKF) observer is designed to overcome the difficulties of flux/speed estimation at and around zero speed. The estimation problems related to low speed operation are further emphasized due to stator resistance, Rs uncertainties. Thus, the observer is designed to estimate the stator resistance, load torque and velocity, which is taken into account via the equation of motion. With this approach, the rotor flux information is reflected to the stator, thus improving the estimation accuracy. The simulation results obtained for the EKF approach in combination with the Direct Vector Control (DVC) of an IM, indicate improved performance.

Original languageEnglish
Pages (from-to)2923-2930
Number of pages8
JournalWSEAS Transactions on Systems
Issue number12
Publication statusPublished - Dec 2006


  • Direct vector control
  • EKF
  • Induction motors
  • Low and zero speed
  • Speed sensorless control
  • Stator resistance and load torque estimation


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