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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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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.