Using a Bivariate Polynomial in an EKF for State and Inductance Estimations in the Presence of Saturation Effects to Adaptively Control a PMSM

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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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.

OriginalspracheEnglisch
ZeitschriftIEEE Access
Jahrgang10
Seiten (von - bis)111545-111553
Anzahl der Seiten9
ISSN2169-3536
DOIs
PublikationsstatusErschienen - 19.10.2022

Bibliographische Notiz

Diese Publikation wurde gefördert durch den Open-Access-Publikationsfonds der Leuphana Universität Lüneburg.

Publisher Copyright:
© 2013 IEEE.

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