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

Date

2004-11-06

Author

Akin, Bilal
Orguner, Umut
Ersak, Aydin
Ehsani, Mehrdad

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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.

Subject Keywords

Induction Motor, AC Drives, FOC, State Estimation, UKF, EKF, Kalman Filtering, MRAS

URI

https://hdl.handle.net/11511/48367

DOI

https://doi.org/10.1109/iecon.2004.1432129

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Akin, U. Orguner, A. Ersak, and M. Ehsani, “A Comparative Study on Non-Linear State Estimators Applied to Sensorless AC Drives: MRAS and Kalman Filter,” 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48367.