An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor
An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor
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DOI：
10.1109/tpel.2011.2162343
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发表时间：
2012-03
影响因子：
6.7
通讯作者：
S. Davari;D. Khaburi;R. Kennel
中科院分区：
文献类型：
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作者：
S. Davari;D. Khaburi;R. Kennel
本文提出了一种改进的有限控制集模型预测控制（FCS-MPC）。本文的主要目标是减少转矩脉动时，FCS-MPC的实施，通过两电平逆变器。为此，通过优化方法计算加权因子。该优化是基于将控制间隔分为两部分：用于施加有效电压矢量的有效时间和用于施加零电压的零时间。利用这种技术，转矩涟漪计算为加权因子的函数，并对其进行优化。采用两电平逆变器，在额定转速和低速两个转速区间，对该方法进行了仿真和实验验证。与传统的FCS-MPC的结果进行了比较。
In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented. The main goal of this paper is reducing the torque ripples when the FCS-MPC is implemented by means of the two-level inverter. For this purpose, the weighting factor is calculated via an optimization method. The optimization is based on dividing the control interval into two parts: active time for applying the active voltage vectors and zero time for applying the zero voltage. With this technique, the torque ripple is calculated as a function of weighting factor and it is optimized. The method is validated by simulations and experiments, using two-level inverter, at two speed regions (nominal speed and low speed). The results are compared with conventional FCS-MPC.