返回
Variable sampling period multi-phase predictive controller based on regions
DOI:10.1016/j.conengprac.2024.106021.png)
摘要
En 中文
Multi-phase machines are being proposed in research and industry applications due to their inherent advantages. Finite Control Set Model Predictive Controllers (FCS MPC) constitute a flexible tool to deal with the increased number of phases. However, FCS MPC is computationally demanding, reducing its applicability with fast power converters. Region-based methods for FCS MPC have been recently proposed to reduce the control computation time. However, these methods are still hindered by the use of a fixed application time for the selected voltage. The paper presents a region-based method that uses variable application times. The method achieves fast computation of the voltage vector and its application time. Moreover, the application time can be found with fine resolution unlike previous approaches and without iterations. The proposal is experimentally validated using a laboratory test bench based on a symmetric five-phase induction machine showing improved control results and a reduction in harmonic content.
Keyword:
Multi-phase electric drives
Predictive control
Variable sampling time
期刊
IF:
4.6
论文数:
5.7K
被引数:
1.4W
机构
引用论文
Model Predictive Current Control of Nine-Phase Open-End Winding PMSMs With an Online Virtual Vector Synthesis Strategy具有在线虚拟矢量合成策略的九相开路绕组pmsm的模型预测电流控制
Robust Model Predictive Current Control for a Nine-Phase Open-End Winding PMSM With High Computational Efficiency具有高计算效率的九相开路绕组PMSM鲁棒模型预测电流控制
Virtual Voltage Vector Based Model Predictive Control for a Nine-Phase Open-End Winding PMSM With a Common DC Bus基于虚拟电压矢量的共直流母线九相开路绕组永磁同步电机模型预测控制
Symmetrical/Asymmetrical Winding Reconfiguration in Multiphase Machines多相电机中的对称/不对称绕组重构
IEEE ACCESS
IF3.6

