Three‑level inverter‑fed model predictive torque control of a permanent magnet synchronous motor with discrete space vector modulation and simplified neutral point voltage balancing


Vol. 22, No. 1, pp. 22-30, Jan. 2022
10.1007/s43236-021-00330-9




 Abstract

In this study, discrete space vector modulation (DSVM) is used to achieve the flux and torque ripple reduction of finite set model predictive torque control (FS-MPTC) fed by a three-level neutral point clamped inverter (3L-NPCI). In the proposed DSVM, the synthesis of voltage vectors (VVs) can be controlled and implemented online, thereby eliminating the need for a VV lookup table. In addition, a simple and efficient preselection VV strategy is presented to reduce the number of candidate VVs in the prediction stage. The problem of capacitor voltage imbalance in 3L-NPCI is easily solved without including it as a control objective in the cost function. Thus, the complexity of tuning multiple weighting factors can be reduced. Hence, the proposed PTC-DSVM algorithm is simple and is capable of minimizing torque/flux ripples. It can also achieve a fast torque dynamic performance while maintaining balanced capacitor voltages. The effectiveness of the proposed method is verified through experimental results.


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Cite this article

[IEEE Style]

I. M. Alsofyani and K. Lee, "Three‑level inverter‑fed model predictive torque control of a permanent magnet synchronous motor with discrete space vector modulation and simplified neutral point voltage balancing," Journal of Power Electronics, vol. 22, no. 1, pp. 22-30, 2022. DOI: 10.1007/s43236-021-00330-9.

[ACM Style]

Ibrahim Mohd Alsofyani and Kyo-Beum Lee. 2022. Three‑level inverter‑fed model predictive torque control of a permanent magnet synchronous motor with discrete space vector modulation and simplified neutral point voltage balancing. Journal of Power Electronics, 22, 1, (2022), 22-30. DOI: 10.1007/s43236-021-00330-9.