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State estimation of induction motor using unscented Kalman filter
Date
2003-06-25
Author
Akin, B
Orguner, Umut
Ersak, A
Metadata
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In this paper, a new estimation technique, unscented Kalman filter (UKF) is applied to state observation in field oriented control (FOC) of induction motor. UKF, a recent derivative-free nonlinear estimation tool, is used for estimating rotor speed and fluxes using sensed stator current and voltages. In the simulations, UKF, whose several intrinsic properties suggest its use over EKF in highly nonlinear systems, turned out to be very similar to EKF in flux estimates. The simulation results also show that UKF has slightly better speed estimation performance than EKF while driven under the identical machine model and parameters (covariances).
Subject Keywords
Induction motor
,
Speed estimation
,
UKF
,
EKF
,
Sensorless vector control
,
State observer
URI
https://hdl.handle.net/11511/52668
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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B. Akin, U. Orguner, and A. Ersak, “State estimation of induction motor using unscented Kalman filter,” 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52668.