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

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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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A comparative study on Kalman filtering techniques designed for state estimation of industrial AC drive systems Akin, B; Orguner, Umut; Ersak, A (2004-06-05) 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...
A Comparative Study on Non-Linear State Estimators Applied to Sensorless AC Drives: MRAS and Kalman Filter Akin, Bilal; Orguner, Umut; Ersak, Aydin; Ehsani, Mehrdad (2004-11-06) 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.
State estimation of induction motor using unscented Kalman filter Akin, B; Orguner, Umut; Ersak, A (2003-06-25) 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...
Simple derivative-free nonlinear state observer for sensorless AC drives Akin, Bilal; Orguner, Umut; Ersak, Aydin; Ehsani, Mehrdad (Institute of Electrical and Electronics Engineers (IEEE), 2006-10-01) 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...
A novel approach to detection of some parameters of induction motors Özlü Ertan, Hatice Gülçin; Colak, Baris (2007-05-05) This paper describes a novel approach for offline stator leakage inductance and online stator resistance estimation that can be used for self-tuning of induction motor drives. The paper briefly describes the theory behind the approach. The proposed methods are experimentally tested on an industrial induction motor and also tested on a washing machine motor designed for variable speed operation. Test results are given and the robustness of the approach is illustrated.

Citation Formats

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.