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首页> 外文期刊>International journal of electrical power and energy systems >Error minimization based on multi-objective finite control set model predictive control for matrix converter in DFIG
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Error minimization based on multi-objective finite control set model predictive control for matrix converter in DFIG

机译:基于多目标有限控制集模型预测控制的DFIG矩阵转换器的误差最小化

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摘要

Matrix Converter (MC) has many advantages such as capability of bi-directional energy conversion, no need for DC bus and high value filters. However, modulation methods are very difficult and require high computational effort. Therefore, Multi-objective Finite Control Set Model Predictive Control (MFCS-MPC) has been implemented to simplify the complexity of this topology. However, the weakness of this control method is using mathematical model and affected by parameter mismatches due to the external disturbances, frequency and temperature variations. In this study, past errors of rotor current are added to the cost function and the weighting factors are adjusted with the Fuzzy Decision Making (FDM) approach. Due to the combination of these two methods, a robust system is obtained that can operate even in model-plant mismatch. The proposed algorithm is implemented using the TMS320F28335 Digital Signal Processor (DSP), a 32-bit floating-point processor operating at 150 MHz. Results obtained from simulation and experimental setup are compared with the current literature studies and the performance of the proposed method is confirmed.
机译:矩阵转换器(MC)具有许多优点,例如双向能量转换的能力,无需直流总线和高值滤波器。然而,调制方法非常困难并且需要高计算工作。因此,已经实施了多目标有限控制集模型预测控制(MFCS-MPC)以简化该拓扑的复杂性。然而,这种控制方法的弱点是使用数学模型并受到由于外部干扰,频率和温度变化而影响的参数不匹配。在本研究中,将转子电流的过去误差添加到成本函数中,并且使用模糊决策(FDM)方法调整加权因子。由于这两种方法的组合,获得了一种稳健的系统,即即使在模型 - 植物不匹配中也可以操作。使用TMS320F28335数字信号处理器(DSP)实现所提出的算法,32位浮点处理器在150 MHz下操作。将从模拟和实验设置获得的结果与当前的文献研究进行了比较,并且确认了所提出的方法的性能。

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