The Optimization of EKF Algorithm based on Current Errors for Speed-Sensorless Control of Induction Motors

Zerdali E. , Barut M.

Int Aegean Conference on Electrical Machines and Power Electronics (ACEMP) / Int Conference on Optimization of Electrical and Electronic Equipment (OPTIM) / Int Symposium on Advanced Electromechanical Motion Systems (ELECTROMOTION), Side, Turkey, 2 - 04 September 2015, pp.388-392 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Side
  • Country: Turkey
  • Page Numbers: pp.388-392


In this study, an optimized extended Kalman filter (EKF) is designed in order to achieve high performance speed-sensorless control of induction motors (IMs). The EKF algorithm estimates the stationary axis components of rotor fluxes, phi(r alpha) and phi(r beta), the rotor angular velocity, omega(m), the rotor resistance, R'(r), besides the stationary axis components of stator currents, i(s alpha) and i(s beta), which are measured as output as well. Also, an optimization process is performed using errors between measured and estimated current components to obtain satisfying estimation performance with EKF. The experimental results prove the high performance control of the proposed system.