文章基本信息

标题：LPV-H ∞ Fault Estimation for Boilers in Sugarcane Processing Plants ⁎
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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：2018
卷号：51
期号：26
页码：1-6
DOI：10.1016/j.ifacol.2018.11.177
语种：English
出版社：Elsevier
摘要：AbstractThis short study presents a Linear Parameter Varying(LPV)method for the estimation of faults on Boilers of a Grid-Connected Hybrid Power Plant, that processes sugarcane. These boilers burn residual biomass from the cane and may present a gradual loss of effectiveness, due to internal faults. This renewable energy plant is subject to different processual constraints, having to produce steam, cold water and electric power. The possible faults on the boilers, main source of energy, can lead the system not to comply its operational constraints, which results in direct economic deprivation. These faults are identified through a proposed Fault Detection and Diagnosis approach, based on anLPVextended-state observer, whose gain is derived from Linear Matrix Inequalities(LMI)solutions for the H∞norm minimization. With the aid of high-fidelity simulation results, the method is discussed.
关键词：KeywordsFault DetectionDiagnosisLPVBoilersMicrogridsRenewable Sources