Model Predictive Control for High-Speed Flywheel Systems

In high-speed flywheel systems, permanent magnet synchronous motors (PMSMs) are the preferred choice. However, the low inductance of PMSM and the lower ratio of carrier cause increased current harmonics, which means more motor losses. The LC filter is widely used to suppress current harmonics, but closed-loop current control may be affected by the filter. In this paper, a mathematical model of the system is established to implement the finite control set model predictive control (FCS-MPC) method. The conditions of active damping for the MPC method are obtained by the analysis of the resonance principle. It is shown that capacitor voltage control reduces total harmonic distortion of the motor stator current by the simulation result.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928315
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Model Predictive Control for High-Speed Flywheel Systems

Ziwei Wang, Congzhe Gao, Xiao Liu, Haoying Fu
Advanced Control Systems Optimization
article

Model Predictive Control for High-Speed Flywheel Systems

Ziwei Wang, Congzhe Gao, Xiao Liu, Haoying Fu
article en

Abstract

In high-speed flywheel systems, permanent magnet synchronous motors (PMSMs) are the preferred choice. However, the low inductance of PMSM and the lower ratio of carrier cause increased current harmonics, which means more motor losses. The LC filter is widely used to suppress current harmonics, but closed-loop current control may be affected by the filter. In this paper, a mathematical model of the system is established to implement the finite control set model predictive control (FCS-MPC) method. The conditions of active damping for the MPC method are obtained by the analysis of the resonance principle. It is shown that capacitor voltage control reduces total harmonic distortion of the motor stator current by the simulation result.

Beijing Institute of Technology (CN)
Research and Development
Affordable and clean energy
Openalex Percentile: Top 64%
Advanced Control Systems Optimization
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