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Finite control set MPC of active current-source rectifier with full state space model

机译:具有全状态空间模型的有源电流源整流器的有限控制集MPC

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Finite control set model predictive control (FCS-MPC) is very effective and simple control approach which has been suitable for control of various types of power converters. It is a very flexible tool because it evaluates an arbitrary cost function which directly influences converter behavior according to particular demand. For an accurate numerical calculation of the cost function, discretization of state space model is the most accurate approach among the single step calculation methods. Common definition of the current-source rectifier state space model covers only the input ac part of the rectifier whereas the dc part is calculated separately by Euler method. In this paper, definition of full state space model enabling an accurate discretization of all converter variables at once will be introduced, described and compared with a common solution. A behavior of both models will be compared in terms of their performance, robustness and simplicity. Final results will be introduced by simulation study in MATLAB/Plecs.
机译:有限控制集模型预测控制(FCS-MPC)是一种非常有效且简单的控制方法,适用于控制各种类型的电源转换器。这是一种非常灵活的工具,因为它可以评估任意成本函数,该函数会根据特定需求直接影响转换器的行为。对于成本函数的精确数值计算,状态空间模型的离散化是单步计算方法中最准确的方法。电流源整流器状态空间模型的通用定义仅涵盖整流器的输入交流部分,而直流部分则通过欧拉方法分别计算。在本文中,将介绍,描述并与一个通用解决方案进行比较的全状态空间模型的定义,该模型能够立即对所有转换器变量进行精确离散化。将根据性能,鲁棒性和简单性对这两种模型的行为进行比较。最终结果将通过MATLAB / Plecs中的仿真研究进行介绍。

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