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An experimental performance test of a derivative-free non-linear state observer designed for sensorless AC drives
Date
2004-06-05
Author
Akın, B
Orguner, Umut
Ersak, Aydın
Metadata
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In this paper, a new Kalman Filtering technique, Unscented Kalman Filter (UKF) is utilized both experimentally and theoretically as a state estimation tool in field-oriented control (FOC) of sensorless AC drives. Using the advantages of this recent derivative-free nonlinear estimation tool, rotor speed and dq-axis fluxes of an induction motor are estimated only with the sensed stator currents and voltages information. In a previous study, simulations has shown that, UKF, whose several intrinsic properties suggest its use over EKF in highly nonlinear systems, has highly satisfactory rotor speed and flux estimates, which are the most critical states for FOC. In this new work, those simulation results are supported with experimental results.
Subject Keywords
Induction motor
,
FOC
,
Speed estimation
,
UKF
,
Kalman filtering
,
State observer
URI
https://hdl.handle.net/11511/41121
DOI
https://doi.org/10.1109/icmech.2004.1364478
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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In this paper, two different Kalman Filtering techniques, Unscented Kalman Filter (UKF) and Extended Kalman Filter (EKF) are investigated and compared both experimentally and theoretically. These non-linear, stochastic observers are employed as a state estimation tool in field-oriented control (FOC) of sensorless AC drives in this work. Using the superiorities of Kalman filtering, rotor speed and dq-axis fluxes of an induction motor are estimated only with the sensed stator currents and voltages information...
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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 UK...
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In this paper, a new Kalman filtering technique, unscented Kalman filter (UKF), is utilized both experimentally and theoretically as a state estimation tool in field-oriented control (FOC) of sensorless ac drives. Using the advantages of this recent derivative-free nonlinear estimation tool, rotor speed and dq-axis fluxes of an induction motor are estimated only with the sensed stator currents and voltages information. In order to compare the estimation performances of the extended Kalman filter (EKF) and U...
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B. Akın, U. Orguner, and A. Ersak, “An experimental performance test of a derivative-free non-linear state observer designed for sensorless AC drives,” 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41121.