4.5 Article

Permanent Magnet Flux Linkage Analysis and Maximum Torque per Ampere (MTPA) Control of High Saturation IPMSM

期刊

ENERGIES
卷 16, 期 12, 页码 -

出版社

MDPI
DOI: 10.3390/en16124717

关键词

maximum torque per ampere; high saturation; permanent magnet flux linkage; interior permanent magnet synchronous motor; nonlinear fitting model

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In this paper, an improved maximum torque per ampere (MTPA) control method for high saturation interior permanent magnet synchronous motors (IPMSM) is proposed. The conventional models of flux linkage and torque are improved by analyzing the nonlinear variation of the permanent magnet (PM) flux linkage with dq-axis currents. An expression suitable for MTPA control of high saturated IPMSM is derived based on the improved models. The proposed parameter fitting models are incorporated into the MTPA optimization algorithm to obtain the MTPA curve, and simulations and experiments verify the effectiveness of the proposed method in enhancing the control accuracy of the MTPA angle.
The maximum torque per ampere (MTPA) control is significant for improving the efficiency of the interior permanent magnet synchronous motor (IPMSM). However, for the high saturation IPMSM, the change of the permanent magnet (PM) flux linkage is more complicated, which can cause the MTPA control to deviate from the optimal solution. Therefore, an improved MTPA control method for the high saturation IPMSM is proposed in this paper. Compared with other methods, the proposed method improves the conventional models of flux linkage and torque by analyzing the nonlinear variation of the PM flux linkage with the dq-axis currents. Subsequently, an expression suitable for the MTPA control of high saturated IPMSM is derived based on the improved models. The proposed parameter fitting models are then fitted using data from 11 operating points and incorporated into the MTPA optimization algorithm to obtain the MTPA curve. Finally, the effectiveness of the proposed method in enhancing the control accuracy of the MTPA angle is verified through simulations and experiments.

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