文章基本信息

标题：LPV-Filtered Predictive Control Design for Fault-Tolerant Energy Management ⁎
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作者：Marcelo Menezes Morato ; Paulo Renato da Costa Mendes ; Julio Elias Normey-Rico 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：1
页码：166-171
DOI：10.1016/j.ifacol.2019.06.055
语种：English
出版社：Elsevier
摘要：AbstractThis study presents a Filtered Model-based Predictive Control method for the Fault-Tolerant Energy Management of a sugarcane microgrid; such plant has several renewable sources (solar, wind and biomass power), being subject to different operational constraints and load demands. The proposed control policy ensures that these demands are met at every iteration, despite the presence of faults, coordinating which energy source to use, maximizing the use therenewablesaccording to contract rules. The proposed predictive controller is synthesized with a fault-free model of the plant and coupled with afeedbacklow-pass Linear Parameter Varying(LPV)filter that is scheduled according to the level of faults detected upon the system. Such system is compared to a standard predictive controller, displaying much improved behavior.
关键词：KeywordsFault Tolerant ControlModel Predictive ControlMicrogrids