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Model Predictive Current Control in the Stationary Coordinate System for a Three-Phase Induction Motor Fed by a Two-Level Inverter

机译:两电平逆变器供电的三相感应电动机静止坐标系中的模型预测电流控制

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Model predictive current control (MPCC) has been a research hotspot due to its simple control structure in the motor control field. However, the MPCC based on field orientation in synchronous rotation coordinate system needs the synchronization angle calculation and field orientation, which leads to a series of park coordinate transformations. Besides, its actual control process is affected by the magnetic field orientation accuracy. In this paper, the MPCC based on a dual-boundary circle strategy in the two-phase stationary coordinate system is proposed, which can reduce the times of park coordinate transformation and results in a low computational burden. Compared with the single-boundary circle strategy, dual-boundary circle strategy can realize a better dynamic control performance and a lower current harmonic content of the motor system. Moreover, low switching frequency is also a critical performance target, especially in the high-power motor control system. So weighing factor is introduced to the cost function and is used to balance the control performance between switching frequency and current tracking. Based on the proper weighing factor and inner radius and outer radius of dual-boundary circle, the control performance of the strategy proposed is verified on the simulation platform of a 160kW induction motor control system.
机译:预测模型电流控制(MPCC)由于其在电机控制领域的简单控制结构而成为研究热点。然而,在同步旋转坐标系中基于场定向的MPCC需要同步角计算和场定向,这导致了一系列驻车坐标变换。此外,其实际控制过程还受磁场定向精度的影响。本文提出了一种基于双边界圆策略的两阶段固定坐标系的MPCC,它可以减少驻车坐标变换的次数,并减少计算量。与单边界圆策略相比,双边界圆策略可以实现更好的动态控制性能,并降低电机系统的电流谐波含量。此外,低开关频率也是关键的性能目标,尤其是在大功率电机控制系统中。因此,将权重因子引入成本函数,并用于平衡开关频率和电流跟踪之间的控制性能。基于适当的称重因子以及双边界圆的内半径和外半径,在160kW感应电动机控制系统的仿真平台上验证了该策略的控制性能。

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