<ce:italic>LPV-H</ce:italic> <ce:inf loc='post'>∞</ce:inf> Fault Estimation for Boilers in Sugarcane Processing Plants <ce:cross-ref refid='fn1'> <ce:sup loc='post'>?</ce:sup> </ce:cross-ref>

Marcelo Menezes Morato; Paulo Renato da Costa Mendes; Julio Elias Normey-Rico; Carlos Bordons

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LPV-H ∞ Fault Estimation for Boilers in Sugarcane Processing Plants ?

机译： LPV-H ∞甘蔗加工厂锅炉的故障估计？

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This 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.

机译：这项简短的研究提出了一种线性参数可变（LPV）方法，用于估计处理甘蔗的并网混合动力电厂锅炉的故障。这些锅炉会燃烧甘蔗中残留的生物质，并且由于内部故障可能会逐渐失去有效性。这个可再生能源工厂受到不同的过程约束，必须产生蒸汽，冷水和电力。锅炉（主要能源）的可能故障可能导致系统不遵守其运行限制，从而导致直接的经济剥夺。通过基于LPV扩展状态观测器的拟议的故障检测和诊断方法，可以识别这些故障，该观测器的增益来自线性矩阵不等式（LMI）解决方案，以实现H∞范数最小化。借助高保真仿真结果，对该方法进行了讨论。

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《IFAC PapersOnLine》 |2018年第26期|共6页
作者
Marcelo Menezes Morato; Paulo Renato da Costa Mendes; Julio Elias Normey-Rico; Carlos Bordons;
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中图分类自动化技术、计算机技术;
关键词
Fault DetectionDiagnosisLPVBoilersMicrogridsRenewable Sources;

机译：故障检测诊断液化石油气锅炉微电网可再生能源;

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LPV-H ∞ Fault Estimation for Boilers in Sugarcane Processing Plants ?

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