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Research on an improved deadbeat model predictive current control of double three-phase open-winding permanent magnet motor.

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Title: Research on an improved deadbeat model predictive current control of double three-phase open-winding permanent magnet motor.
Authors: Ou Sha1 13852944278@139.com, Hongyu Tang1 t_redrain@126.com
Source: Journal of Vibroengineering. Dec2024, Vol. 26 Issue 8, p1791-1805. 15p.
Subjects: Vector valued functions, Prediction models, Mathematical models, Torque, Voltage, Permanent magnets
Abstract: Model predictive current control has high control accuracy and good control performance, and has been widely applied in the control strategy of dual three-phase permanent magnet synchronous motors. This article proposes an improved deadbeat model predictive current control (DMPCC) method by analyzing the mathematical model of a dual three-phase open-winding permanent magnet synchronous motor. One inverter predicts and calculates the optimal voltage vector through the deadbeat model, while the other inverter calculates the optimal voltage vector through the value function rolling optimization. This method reduces the computational workload of the controller, avoids the delay problem of the traditional model predictive current control (MPCC) method, improves the system's response speed, effectively suppresses the current in the harmonic sub-plane, and reduces torque ripple. The simulation results have verified the accuracy and speed of the above control method. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Model predictive current control has high control accuracy and good control performance, and has been widely applied in the control strategy of dual three-phase permanent magnet synchronous motors. This article proposes an improved deadbeat model predictive current control (DMPCC) method by analyzing the mathematical model of a dual three-phase open-winding permanent magnet synchronous motor. One inverter predicts and calculates the optimal voltage vector through the deadbeat model, while the other inverter calculates the optimal voltage vector through the value function rolling optimization. This method reduces the computational workload of the controller, avoids the delay problem of the traditional model predictive current control (MPCC) method, improves the system's response speed, effectively suppresses the current in the harmonic sub-plane, and reduces torque ripple. The simulation results have verified the accuracy and speed of the above control method. [ABSTRACT FROM AUTHOR]
ISSN:13928716
DOI:10.21595/jve.2024.24350