Switching Current Predictive Control of a Permanent Magnet Synchronous Motor Based on the Exponential Moving Average Algorithm

To improve the dynamic and steady-state control performance of permanent magnet synchronous motors under the three-vector model predictive current control method, this study proposes a switching current predictive control method based on the exponential moving average algorithm, which evaluates the...

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Bibliographic Details
Published in:Energies (Basel) Vol. 17; no. 14; p. 3577
Main Authors: Yu, Fengming, Liu, Jun
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.07.2024
Subjects:
Algorithms
Analysis
Control algorithms
Digital signal processors
Energy conservation
Energy efficiency
exponential moving average (EMA)
Magnets, Permanent
Mathematical models
Methods
model predictive current control (MPCC)
Optimization
permanent magnet synchronous motor (PMSM)
switch control
vector selection
Velocity
ISSN:1996-1073, 1996-1073
Online Access:Get full text
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Summary:To improve the dynamic and steady-state control performance of permanent magnet synchronous motors under the three-vector model predictive current control method, this study proposes a switching current predictive control method based on the exponential moving average algorithm, which evaluates the magnitude of the change of the q-axis current slope in real time to discriminate the motor’s operating conditions and selects the optimal control method for different operating conditions. Meanwhile, the traditional three-vector model predictive current control method is improved by introducing a comparison mechanism for the q-axis current slope to select the second effective voltage vector, avoiding the secondary optimization calculation of the value function and reducing the computational complexity of the traditional method. By comparing the proposed method with the traditional three-vector model predictive current control method, the experimental results prove that the proposed method improves the system’s dynamic response and steady-state performance.
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content type line 14
ISSN:1996-1073
1996-1073
DOI:10.3390/en17143577