Universal Delay Compensation for Model Predictive Current Control of Three-Phase Inverters

Dong-Hai Chen, Han-Wen Chen, Yuyin Qiu, T. Hu, Jun Huang, Hai-bo Zhu, Yong Zhang, Zhi-Xia Gu
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Abstract

Finite control set model predictive control (FCS-MPC) approach is highly dependent on the system model. It is equipped with the advantages of simple structure, high accuracy and optimization performance. When considering the model uncertainties, control performances are inevitably degraded to some extent. Time-delay is a typical kind of model uncertainties, which significantly affects the prediction accuracy and system stability. In this paper, a fractional-order based Smith Predictor based composite FCS-MPC approach is investigated and applied in a grid-connected system. The control accuracy can be significantly improved in this way. Moreover, considering the inherent time-delay introduced by Smith Predictor, phase lead design solution has been proposed. Various cases of simulation results are illustrated to show the effectiveness of the investigated approach.
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三相逆变器模型预测电流控制的通用延迟补偿
有限控制集模型预测控制(FCS-MPC)方法高度依赖于系统模型。具有结构简单、精度高、性能优化等优点。当考虑模型的不确定性时,控制性能不可避免地会有所下降。时滞是一种典型的模型不确定性,严重影响系统的预测精度和稳定性。本文研究了一种基于分数阶Smith预测器的复合FCS-MPC方法,并将其应用于并网系统。这样可以显著提高控制精度。此外,考虑到Smith预测器引入的固有时延,提出了相超前设计方案。仿真结果表明了所研究方法的有效性。
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