Fast-Switching SVR Weight Coefficient Design for the MPTC of Double Three-Phase PMSM

Huanzhen Zhang, Shaosheng Fan () and Gongping Wu
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Huanzhen Zhang: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Shaosheng Fan: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Gongping Wu: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China

Energies, 2025, vol. 18, issue 9, 1-15

Abstract: The dual three-phase permanent magnet synchronous motor (DT-PMSM) has the advantages of high fault tolerance, flexible control, small torque ripple, and meeting the requirements of low voltage and high power. However, in the traditional model of predictive torque control (MPTC) of DT-PMSM, the calculation is cumbersome due to the numerous voltage vectors. Therefore, a fast-switching table based on torque prediction DT-PMSM control is established. In addition, in the DT-PMSM conventional MPTC strategy, the cost function consists of the electromagnetic torque error and the stator flux error. Due to the lack of an explicit theory to guide the design of the weight coefficients, the weight coefficients can only be set through a large number of simulations and experiments in applications, and the tuning process is very cumbersome. Therefore, the support vector machine regression (SVR) method was used to improve the tedious calculation and tuning process of MPTC of DT-PMSM. The experimental results show that MPTC based on a fast-switching table achieves good steady-state and dynamic control performance by using weighting factors.

Keywords: DT-PMSM; MPTC; support vector machine regression; fast-switching table (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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