A Model-Free Predictive Control for IPMSM Drive Based on Finite Control Set

Finite control set model predictive control (FCS-MPC) has received considerable attention recently because of its powerful advantages of nonlinear control, simplicity of use, and fast response. Nonetheless, FCS-MPC is sensitive to parameter mismatch, which can degrade the performance of FCS-MPC, especially in motor drives.BR/Model-free predictive control (MFPC) with an extended state observer (ESO) is a good strategy when motor parameter mismatch is expected because of the property of ultra local model, which requires only input and output of the system, not system parameters. This paper presents the FCS-MFPC scheme for the current controller of an interior permanent magnet synchronous motor drive. To find out the robustness of the FCS-MFPC, the performance of the FCS-MFPC was experimentally compared with that of the FCS-MPC under identical input scaling condition.

Authors

Publication Details

Journal
The Transactions of the Korean Institute of Power Electronics
Published
2025-04-15
DOI
https://doi.org/10.6113/tkpe.2025.30.2.165
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A Model-Free Predictive Control for IPMSM Drive Based on Finite Control Set

Oluleke Babayomi, Jongseok Kim, Ki-Bum Park, Youngseok Lee et al.
The Transactions of the Korean Institute of Power Electronics
Advanced Control Systems Optimization
article

A Model-Free Predictive Control for IPMSM Drive Based on Finite Control Set

Oluleke Babayomi, Jongseok Kim, Ki-Bum Park, Youngseok Lee, Jun Gwon
article en

Abstract

Finite control set model predictive control (FCS-MPC) has received considerable attention recently because of its powerful advantages of nonlinear control, simplicity of use, and fast response. Nonetheless, FCS-MPC is sensitive to parameter mismatch, which can degrade the performance of FCS-MPC, especially in motor drives.BR/Model-free predictive control (MFPC) with an extended state observer (ESO) is a good strategy when motor parameter mismatch is expected because of the property of ultra local model, which requires only input and output of the system, not system parameters. This paper presents the FCS-MFPC scheme for the current controller of an interior permanent magnet synchronous motor drive. To find out the robustness of the FCS-MFPC, the performance of the FCS-MFPC was experimentally compared with that of the FCS-MPC under identical input scaling condition.

The Transactions of the Korean Institute of Power ElectronicsVol. 30(2)
Openalex Percentile: Top 92%
Advanced Control Systems Optimization
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