Analysis of Finite-Control-Set Model Predictive Current Control With Model Parameter Mismatch in a Three-Phase Inverter
Analysis of Finite-Control-Set Model Predictive Current Control With Model Parameter Mismatch in a Three-Phase Inverter
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DOI：
10.1109/tie.2016.2515072
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发表时间：
2016-01
影响因子：
7.7
通讯作者：
Héctor A. Young;M. Pérez;José R. Rodríguez
中科院分区：
文献类型：
--
作者：
Héctor A. Young;M. Pérez;José R. Rodríguez
众所周知，预测控制方法会受到建模误差的影响。有限控制集模型预测控制(FCS-MPC)受参数不确定性的影响程度是目前评估该方法在电力电子应用中的可行性时反复考虑的问题。本文提出了一种分析三相两电平逆变器中模型参数不确定性对FCS-MPC预测误差影响的方法。分析表明，预测误差不仅与参数失配有关，还与负载电流和逆变器输出电压的瞬时值有关。这意味着在预测算法的每个采样周期内，当评估多个电压向量时，会产生几种预测误差条件。给出了仿真和实验结果，并讨论了负载电阻和电感参数建模误差对FCS-MPC性能的影响。尽管稳态性能受到参数变化的显著影响，特别是当负载电感被模型高估时，其快速的暂态阶跃响应受参数变化的影响较小。
It is well known that predictive control methods can be affected by the presence of modeling errors. The extent to which finite-control-set model predictive control (FCS-MPC) is influenced by parametric uncertainties is a recurrent concern at the moment of evaluating the viability of this method for power electronics applications. This paper proposes an analytic approach to examine the influence of model parametric uncertainties on the prediction error of FCS-MPC for current control in a three-phase two-level inverter. The analysis shows that the prediction error is not only determined by parametric mismatch but also by the instantaneous values of load current and inverter output voltage. This implies that within each sampling period of the predictive algorithm several conditions of prediction error are generated, as multiple voltage vectors are evaluated. Simulation and experimental results are provided and discussed showing the effects of inaccuracies in the modeling of load resistance and inductance parameters on the performance of FCS-MPC. Even though steady-state performance is noticeably affected with parameter changes, especially when the load inductance is overestimated by the model, its fast transient step response is less affected by parameter changes.