Please use this identifier to cite or link to this item:
https://doi.org/10.48548/pubdata-1495
| Resource type | Journal Article |
| Title(s) | Using a Bivariate Polynomial in an EKF for State and Inductance Estimations in the Presence of Saturation Effects to Adaptively Control a PMSM |
| DOI | 10.48548/pubdata-1495 |
| Handle | 20.500.14123/1569 |
| Creator | Zwerger, Tanja  0000-0002-0159-204XMercorelli, Paolo 0000-0003-3288-5280 |
| Abstract | This paper takes into consideration a combined extended Kalman filter (CEKF) by using a bivariate polynomial for the estimation of Ld and Lq in saturation conditions. In the context of the Kalman filter (KF), Ld and Lq are modelled as nonlinear augmented states to control a permanent magnetic synchronous machine (PMSM). Once Ld and Lq are estimated, continuous monitoring of the machine saturation conditions is achieved to ensure the desired torque even under saturation conditions. The proposed adaptive control method based on maximum torque per ampere (MTPA) consists of an adaptive feedforward and PI controller. A discussion in light of the measured results using Hardware-in-the-loop is also included. |
| Language | English |
| Keywords | Bivariate Polynomial; Extended Kalman Filter; Parameter Estimation; Permanent Magnetic Synchronous Machine |
| Year of publication in PubData | 2024 |
| Publishing type | Parallel publication |
| Publication version | Published version |
| Date issued | 2022-10-19 |
| Creation context | Research |
| Notes | This publication was funded by the Open Access Publication Fund of Leuphana University Lüneburg. |
| Published by | Medien- und Informationszentrum, Leuphana Universität Lüneburg |
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| File | Description | Size | Format | |
|---|---|---|---|---|
Zwerger_Using_a_Bivariate_Polynomial_in_an_EKF_for_State_and_Inductance_Estimations.pdf License: 
open-access | 6.51 MB | Adobe PDF | View/Open |
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