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Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions. / Zwerger, Tanja; Mercorelli, Paolo.
In: Ieee Journal of Emerging and Selected Topics in Industrial Electronics, Vol. 5, No. 2, 01.04.2024, p. 462-474.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Zwerger, T & Mercorelli, P 2024, 'Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions', Ieee Journal of Emerging and Selected Topics in Industrial Electronics, vol. 5, no. 2, pp. 462-474. https://doi.org/10.1109/JESTIE.2023.3313066

APA

Zwerger, T., & Mercorelli, P. (2024). Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions. Ieee Journal of Emerging and Selected Topics in Industrial Electronics, 5(2), 462-474. https://doi.org/10.1109/JESTIE.2023.3313066

Vancouver

Zwerger T, Mercorelli P. Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions. Ieee Journal of Emerging and Selected Topics in Industrial Electronics. 2024 Apr 1;5(2):462-474. doi: 10.1109/JESTIE.2023.3313066

Bibtex

@article{8fe82ed3c6a64a509ba4af6b5cdd38cf,
title = "Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions",
abstract = "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.",
keywords = "Bivariate polynomial, extended Kalman filter (EKF), hardware in the loop (HIL) validation, Parameter estimation, permanent magnetic synchronous machine (PMSM), Engineering",
author = "Tanja Zwerger and Paolo Mercorelli",
year = "2024",
month = apr,
day = "1",
doi = "10.1109/JESTIE.2023.3313066",
language = "English",
volume = "5",
pages = "462--474",
journal = "Ieee Journal of Emerging and Selected Topics in Industrial Electronics",
issn = "2687-9735",
publisher = "Institute of Electrical and Electronics Engineers",
number = "2",

}

RIS

TY - JOUR

T1 - Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions

AU - Zwerger, Tanja

AU - Mercorelli, Paolo

PY - 2024/4/1

Y1 - 2024/4/1

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 -

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Research output: Journal contributions › Journal articles › Research › peer-review

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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Talani, R. A., Kaloi, G. S., Ali, A., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P. & Touti, E., 02.2025, In: Machines. 13, 2, 20 p., 110.

Research output: Journal contributions › Journal articles › Research › peer-review

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Zwerger, T. & Mercorelli, P., 01.02.2025, In: Mathematics and Computers in Simulation. 228, p. 178-201 24 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Mathematics in Robot Control for Theoretical and Applied Problems

Mercorelli, P. (Editor), Sergiyenko, O. Y. (Editor) & Tsymbal, O. (Editor), 22.04.2025, Basel: MDPI AG. 296 p. (Mathematics)

Research output: Books and anthologies › Collected editions and anthologies › Research

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