Model Predictive Control of LC Filter Equipped
\nSurface-Mounted PMSM Drives using Exact
\nDiscretization

In this article, a novel method is presented to exactly discretize the state-space model of surface-mounted permanent magnet synchronous machines (PMSMs) that are equipped with an inductive-capacitive (LC) filter to allow the model predictive control of the system. An approach is presented to calculate the matrix exponential and the inverse of the angular frequency dependent state-matrix required for the exact discretization. This enables real-time implementation without using memory extensive lookup tables. The method is compared with the Taylor series up to the third term and bilinear approximations as well. Measurement comparatively verifies the theoretical findings in steady-state at various sampling rates, computational requirements, and prediction accuracy experiments. Furthermore, the robustness of the system to speed reference, load torque, and parameter change transients is also explored.

Publication Details

Journal
Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)
Published
2024-08-21
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
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article

Model Predictive Control of LC Filter Equipped
\nSurface-Mounted PMSM Drives using Exact
\nDiscretization

Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)
Sensorless Control of Electric Motors
article

Model Predictive Control of LC Filter Equipped
\nSurface-Mounted PMSM Drives using Exact
\nDiscretization

article en

Abstract

In this article, a novel method is presented to exactly discretize the state-space model of surface-mounted permanent magnet synchronous machines (PMSMs) that are equipped with an inductive-capacitive (LC) filter to allow the model predictive control of the system. An approach is presented to calculate the matrix exponential and the inverse of the angular frequency dependent state-matrix required for the exact discretization. This enables real-time implementation without using memory extensive lookup tables. The method is compared with the Taylor series up to the third term and bilinear approximations as well. Measurement comparatively verifies the theoretical findings in steady-state at various sampling rates, computational requirements, and prediction accuracy experiments. Furthermore, the robustness of the system to speed reference, load torque, and parameter change transients is also explored.

Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)
Openalex Percentile: Top 63%
Sensorless Control of Electric Motors
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