Weighting-Factor-Less Model Predictive Control With Multiobjectives for Three-Level Hybrid ANPC Inverter Drives

• DOI: 10.1109/jestpe.2023.3297191
• Publication Date: 2023-07-20T17:55:51Z
• Authors: Zhenyao Sun; Shuai Xu; Guanzhou Ren; Chunxing Yao; Guangtong Ma; Juri Jatskevich
• Keywords: Model Predictive Control

Hybrid active neutral point clamped (HANPC) inverter has been recently considered in motor drive applications, while its control with multiple objectives remains quite complicated. The finite set model predictive (MPC) is very attractive for multilevel (MLI) drives due to powerful ability handle multiobjective optimization. However, tuning the weighting factors (WFs) MPC challenging and time costing. In this article, a WF-less method HANPC inverter-fed permanent magnet synchronous (PMSM) proposed. new strategy achieves precise current tracking, potential balance, switching frequency reduction, loss minimization. algorithm works as three-stage procedure achieve best decision at each stage, extrapolation introduced enhance performance. effectiveness of proposed validated experimentally on three-level HANPC-inverter-fed PMSM drive.