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

J. Michalik, Z. Peroutka, V. Šmídl
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引用次数: 8

Abstract

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.
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全状态空间有源电流源整流器的有限控制集MPC
有限控制集模型预测控制(FCS-MPC)是一种简单有效的控制方法,适用于各种类型的电源变换器的控制。它是一种非常灵活的工具,因为它可以根据特定需求评估直接影响转换器行为的任意成本函数。为了精确计算代价函数,状态空间模型离散化是单步计算方法中最精确的方法。电流源整流器状态空间模型的一般定义仅涵盖整流器的输入交流部分,而直流部分则由欧拉法单独计算。本文介绍了一种能够一次精确地离散所有变换器变量的全状态空间模型的定义,并将其与常用解进行了比较。两种模型的行为将在性能、鲁棒性和简单性方面进行比较。最后将在MATLAB/Plecs中进行仿真研究。
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