Adaptive Model Predictive Control for Permanent Magnet Synchronous Motor

In order to solve the problem of speed fluctuation existing in PMSM model predictive control after loading, an optimization strategy based on model reference adaptation is proposed, which take torque and flux as state variables, constantly identified the actual inductance and flux parameters of the...

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Bibliographic Details
Published in:IEEE International Conference on Industrial Technology (Online) pp. 1 - 6
Main Authors: Zhang, Zhiwei, Luo, Wensheng, Zhang, Ruifang, Li, Haofei, Jin, Zhongqi, Li, Chaoyi
Format: Conference Proceeding
Language:English
Published: IEEE 26.03.2025
Subjects:
Adaptation models
cost function
Fluctuations
Load modeling
model prediction
model reference adaptive
Parameter estimation
Predictive control
Predictive models
Stability analysis
Torque
Torque control
Torque measurement
ISSN:2643-2978
Online Access:Get full text
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Summary:In order to solve the problem of speed fluctuation existing in PMSM model predictive control after loading, an optimization strategy based on model reference adaptation is proposed, which take torque and flux as state variables, constantly identified the actual inductance and flux parameters of the motor, and then compensated the adverse effects of parameter changes on the model predictive controller. It makes the whole control system form a complete adaptive optimization control. Secondly, the model prediction controller forms a closed loop between the motor and the controller through the identification algorithm, simplifying the problem of parameter matching and subsequent debugging.
ISSN:2643-2978
DOI:10.1109/ICIT63637.2025.10965270