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A Model Predictive Current Controller With Improved Robustness Against Measurement Noise and Plant Model Variations
IEEE Open Journal of Industry Applications ( IF 7.9 ) Pub Date : 2021-04-21 , DOI: 10.1109/ojia.2021.3074502
Diego Perez-Estevez , Jesus Doval-Gandoy

This article improves the robustness of a finite control set (FCS)-model predictive controller (MPC) for grid-tied inverters and motor drives applications to plant parameter variations and noise, without reducing its bandwidth or affecting its excellent transient response to disturbances and reference commands. The proposed modification adds an observer to the MPC controller structure, which does not significantly increase the computational burden on the embedded controller. Traditionally, observers are employed to estimate unmeasured variables and cancel the effect of disturbances, but this article employs the observer to estimate a measured variable, the converter output current. This solution leverages the benefits of observers from linear controller theory in order to remove undesired components in the measured current and improve the robustness of the controller; hence it is a valuable solution for practicing power-electronic engineers and researchers in the field of grid-tied inverters and motor drives due to its simplicity compared to some advanced techniques often required in more complex MPC designs.

中文翻译:


一种模型预测电流控制器,具有针对测量噪声和设备模型变化的改进的鲁棒性



本文提高了并网逆变器和电机驱动应用的有限控制集 (FCS) 模型预测控制器 (MPC) 对设备参数变化和噪声的鲁棒性,而不会降低其带宽或影响其对干扰和参考的出色瞬态响应命令。所提出的修改在 MPC 控制器结构中添加了一个观察器,这不会显着增加嵌入式控制器的计算负担。传统上,观测器用于估计未测量的变量并消除干扰的影响,但本文采用观测器来估计测量的变量,即转换器输出电流。该解决方案利用线性控制器理论中观测器的优势,去除测量电流中不需要的分量并提高控制器的鲁棒性;因此,对于并网逆变器和电机驱动领域的电力电子工程师和研究人员来说,它是一个有价值的解决方案,因为与更复杂的 MPC 设计中通常需要的一些先进技术相比,它很简单。
更新日期:2021-04-21
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