A Comparative Study on Non-Linear State Estimators Applied to Sensorless AC Drives: MRAS and Kalman Filter

Akin B., Orguner U., Ersak A., Ehsani M.

30th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON), Busan, South Korea, 2 - 06 November 2004, pp.2148-2153, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iecon.2004.1432129
  • City: Busan
  • Country: South Korea
  • Page Numbers: pp.2148-2153
  • Keywords: Induction Motor, AC Drives, FOC, State Estimation, UKF, EKF, Kalman Filtering, MRAS, SPEED IDENTIFICATION, VECTOR CONTROL, INDUCTION
  • Middle East Technical University Affiliated: Yes

Abstract

In this paper, two different nonlinear estimators applied to sensorless AC drives, Kalman Filtering techniques (EKF and UKF) and Model Reference Adaptive System (back emf ans reactive power models), are discussed and compared to each other. Both of the observer types are studied and analyzed both experimentally and theoretically. In order to compare the observers precisely, the observers are tested under the identical conditions.