An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives

Xin Jiang; Yong Yang; Mingdi Fan; Aiming Ji; Yang Xiao; Xinan Zhang; Wei Zhang; Cristian Garcia; Sergio Vazquez; Jose Rodriguez

doi:10.1109/TTE.2022.3144667

An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives

Xin Jiang, Yong Yang, Mingdi Fan, Aiming Ji, Yang Xiao, Xinan Zhang, Wei Zhang, Cristian Garcia, Sergio Vazquez, Jose Rodriguez

Electrical, Electronic and Computer Engineering

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	2444-2455
Number of pages	12
Journal	IEEE Transactions on Transportation Electrification
Volume	8
Issue number	2
DOIs	https://doi.org/10.1109/TTE.2022.3144667
Publication status	Published - 1 Jun 2022

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title = "An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives",

abstract = "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 = "Continuous control set (CCS), model predictive control (MPC), parameter mismatch, permanent magnet synchronous motor (PMSM), quadratic program",

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AU - Jiang, Xin

AU - Yang, Yong

AU - Fan, Mingdi

AU - Ji, Aiming

AU - Xiao, Yang

AU - Zhang, Xinan

AU - Zhang, Wei

AU - Garcia, Cristian

AU - Vazquez, Sergio

AU - Rodriguez, Jose

PY - 2022/6/1

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N2 - 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.

AB - 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.

KW - Continuous control set (CCS)

KW - model predictive control (MPC)

KW - parameter mismatch

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An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives

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