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Model predictive direct torque control of matrix converter-fed PMSM drives using branch and bound algorithm for torque ripple minimization

机译:使用分支定界算法对矩阵变频器供电的PMSM驱动器进行模型预测直接转矩控制,以使转矩脉动最小化

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摘要

A Model Predictive -Direct Torque Control (MP-DTC) technique is proposed for Matrix Converter (MC)-based Permanent Magnet Synchronous Motor (PMSM) drive system, which reduces the torque ripples, does not need the duty cycle calculation, and ensures the fixed switching frequency. The predictive model of PMSM and MC is realized by means of State model. Then, the advanced MC-fed model predictive DTC algorithm is implemented based on cost function evaluation. The simulation results exhibit remarkable torque ripple reduction with the help of Model Predictive Control (MPC). As a result, the proposed strategy is proved to be effective in minimizing the torque ripples for MC-based PMSM drives.
机译:针对基于矩阵变换器(MC)的永磁同步电动机(PMSM)驱动系统,提出了一种模型预测直接转矩控制(MP-DTC)技术,该技术可减少转矩脉动,不需要占空比计算并确保固定的开关频率。 PMSM和MC的预测模型是通过状态模型实现的。然后,基于成本函数评估实现了先进的基于MC的模型预测DTC算法。在模型预测控制(MPC)的帮助下,仿真结果显示出显着的转矩脉动减小。因此,事实证明,所提出的策略可有效地最小化基于MC的PMSM驱动器的转矩脉动。

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