Mean value theorem-based controller for PMSM drive

This paper proposes a novel nonlinear control strategy for the field-oriented control (FOC) of permanent magnet synchronous motors (PMSMs), utilizing the mean value theorem (MVT). By integrating MVT with a sector nonlinearity transformation, the inherently nonlinear error dynamics in the state-feedback system are reformulated into a linear parameter-varying (LPV) model. Stability criteria are established through Lyapunov-based analysis, which are subsequently converted into linear matrix inequalities (LMIs) to compute the controller gains. Experimental validation conducted on a 415 W PMSM demonstrates that the proposed controller ensures precise speed tracking and robust field orientation, even in the presence of varying load torque disturbances.

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Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/ic2em63689.2025.11100706
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

Mean value theorem-based controller for PMSM drive

Okba Zeghib, Bilal Hamidani, Abdelkrim Allag
Sensorless Control of Electric Motors
article

Mean value theorem-based controller for PMSM drive

Okba Zeghib, Bilal Hamidani, Abdelkrim Allag
article en

Abstract

This paper proposes a novel nonlinear control strategy for the field-oriented control (FOC) of permanent magnet synchronous motors (PMSMs), utilizing the mean value theorem (MVT). By integrating MVT with a sector nonlinearity transformation, the inherently nonlinear error dynamics in the state-feedback system are reformulated into a linear parameter-varying (LPV) model. Stability criteria are established through Lyapunov-based analysis, which are subsequently converted into linear matrix inequalities (LMIs) to compute the controller gains. Experimental validation conducted on a 415 W PMSM demonstrates that the proposed controller ensures precise speed tracking and robust field orientation, even in the presence of varying load torque disturbances.

Centre Hospitalo-Universitaire Bab El Oued (DZ), University of Eloued (DZ)
Openalex Percentile: Top 81%
Sensorless Control of Electric Motors
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