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

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

33 Citations (Scopus)

Abstract

This paper proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor 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 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	Accepted/In press - 2022

Keywords

Continuous Control Set
Model Predictive Control
Parameter Mismatch
Permanent Magnet Synchronous Motor
Quadratic Program

ASJC Scopus subject areas

Automotive Engineering
Transportation
Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TTE.2022.3144667

Cite this

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

abstract = "This paper proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor 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 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, Model Predictive Control, Parameter Mismatch, Permanent Magnet Synchronous Motor, Quadratic Program",

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

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T1 - An Improved Implicit Model Predictive Current Control with Continuous Control Set for PMSM Drives

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

N1 - Publisher Copyright: IEEE

PY - 2022

Y1 - 2022

N2 - This paper proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor 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 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 paper proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor 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 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

KW - Model Predictive Control

KW - Parameter Mismatch

KW - Permanent Magnet Synchronous Motor

KW - Quadratic Program

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

Abstract

Keywords

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