Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions
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In: Ieee Journal of Emerging and Selected Topics in Industrial Electronics, Vol. 5, No. 2, 04.2024, p. 462-474.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions
AU - Zwerger, Tanja
AU - Mercorelli, Paolo
PY - 2024/4
Y1 - 2024/4
N2 - This article describes the use of a combined extended Kalman filter, which is calculated using backward Euler discretization and a bivariate polynomial for the estimation of saturated nonlinear augmented states Ld and Lq. The benefit is the further processing of inductance in the control of a permanent magnetic synchronous machine. Backward Euler discretization is proposed in an extended Kalman filter structure to obtain stability for long sampling times, which are due to the complexity of software to be implemented in the microcontroller. Hardware in the loop (HIL), as an emulator, is used for validation of the functionality of the presented estimation method in the saturation region under the influence of both cross-coupling effects and spatial harmonics as well as under the influence of temperature variation in superposition. Measured results using HIL to validate the proposed algorithm and a discussion of the algorithm's advantages and disadvantages are included.
AB - This article describes the use of a combined extended Kalman filter, which is calculated using backward Euler discretization and a bivariate polynomial for the estimation of saturated nonlinear augmented states Ld and Lq. The benefit is the further processing of inductance in the control of a permanent magnetic synchronous machine. Backward Euler discretization is proposed in an extended Kalman filter structure to obtain stability for long sampling times, which are due to the complexity of software to be implemented in the microcontroller. Hardware in the loop (HIL), as an emulator, is used for validation of the functionality of the presented estimation method in the saturation region under the influence of both cross-coupling effects and spatial harmonics as well as under the influence of temperature variation in superposition. Measured results using HIL to validate the proposed algorithm and a discussion of the algorithm's advantages and disadvantages are included.
KW - Bivariate polynomial
KW - extended Kalman filter (EKF)
KW - hardware in the loop (HIL) validation
KW - Parameter estimation
KW - permanent magnetic synchronous machine (PMSM)
KW - Engineering
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=leuphana_woslite&SrcAuth=WosAPI&KeyUT=WOS:001373913500006&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1109/JESTIE.2023.3313066
DO - 10.1109/JESTIE.2023.3313066
M3 - Journal articles
VL - 5
SP - 462
EP - 474
JO - Ieee Journal of Emerging and Selected Topics in Industrial Electronics
JF - Ieee Journal of Emerging and Selected Topics in Industrial Electronics
SN - 2687-9735
IS - 2
ER -