The Influence of Weighing Factor and Prediction Horizon on the Dynamic Performance of the Model Predictive Current Control

Sixun Du, Liwei Chen, Yuanlin Wang, M. Dou
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引用次数: 1

Abstract

Model predictive current control (MPCC) has been widely studied due to its excellent performances. Generally, the weighting factor in the cost function is omitted, based on the consideration that the dimensions of id and iq are the same. Besides, many papers states that the number of predicted steps does not affect the dynamic performance. In this paper, the relationship between the dynamic performances of id and iq is studied, it is proved that the weighing factor affects the current dynamic performance obviously. A cost function that compares the last predicted currents with the reference currents is proposed, the dynamic performance can be improved with long horizon prediction. The influence of weighting factor and prediction steps on dynamic performance of MPCC are validated by experiments.
称重因子和预测范围对模型预测电流控制动态性能的影响
模型预测电流控制(MPCC)以其优异的性能得到了广泛的研究。通常,考虑到id和iq的维度相同,成本函数中的权重因子被省略。此外,许多论文指出,预测步数不影响动态性能。本文研究了id和iq动态性能之间的关系,证明了称重因子对当前动态性能有明显影响。提出了一种将最后预测电流与参考电流进行比较的代价函数,通过长视距预测可以提高系统的动态性能。通过实验验证了权重因子和预测步长对MPCC动态性能的影响。
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