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Model Predictive Current Control With Variable Gain Adaptive Observer Based on Current Augmenter Prediction Model for IPMSM Drives
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DOI：10.1109/TVT.2022.3163733.png)
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Abstract
En 中文
This paper proposes a model predictive current control (MPCC) method based on current augmenter prediction model (CAPM) appropriate for interior permanent magnet synchronous motor (IPMSM) under high-speed condition. The accuracy of CAPM is improved by considering rotor movement during one control period especially under high-speed condition. Meanwhile, the use of the permanent magnetic flux linkage is eliminated. In order to further improve the robustness of the MPCC method, an adaptive observer based on CAPM is designed to estimate the model error. The proposed adaptive observer also eliminates the use of the permanent magnetic flux linkage, so the whole implementation process of the MPCC method with adaptive observer is independent of the permanent magnetic flux linkage. Moreover, since the adaptive observer with fixed adaptive integral gain cannot achieve satisfactory performance under different operating conditions of the motor, this paper designs a calculation method for the variable adaptive integral gains by considering the current estimation error, the amplitude of current and the angular velocity of the IPMSM. Finally, the proposed method is validated by means of the experimental results on a 20-kW test platform.
Keywords:
Predictive models
Photonic crystals
Magnetic materials
Stators
Adaptation models
Rotors
Observers
Interior permanent magnet synchronous motor
current augmenter prediction model
model predictive current control
adaptive observer
variable adaptive integral gain
Journal
IF:
7.1
Papers:
1.8W
Citations:
6.6W