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An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives
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DOI：10.1109/TTE.2022.3144667.png)
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Abstract
En 中文
This article proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor (PMSM) drives. Compared to the conventional implicit MPC, the proposed IMPCC has a much lower computational burden and thus is suitable for real-time applications. Two-step optimization is employed in this method to minimize the cost function based on continuous control set (CCS) while respecting the constraints. Furthermore, the proposed IMPCC uses an incremental model that eliminates the permanent magnet flux linkage. Its strong parameter robustness against stator resistance and inductance variations is also theoretically analyzed. Experimental results are presented to show the superior performance of the proposed IMPCC.
Keywords:
Mathematical models
Predictive models
Transportation
Predictive control
Cost function
Robustness
Motor drives
Continuous control set (CCS)
model predictive control (MPC)
parameter mismatch
permanent magnet synchronous motor (PMSM)
quadratic program
Journal
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2.9K
Citations:
1.6W
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