文章基本信息

标题：Sensor Configuration Problem: Application to a Membrane Separation Unit * * This work has been done within the project "Improved Process Operation via Rigorous Simulation Models (IMPROVISE)" in the Institute for Sustainable Process Technology (ISPT).
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作者：Muhammed Bahadir Saltik ; Leyla Özkan ; Siep Weiland 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：7
页码：189-194
DOI：10.1016/j.ifacol.2016.07.245
语种：English
出版社：Elsevier
摘要：For high performance model based control applications the state and parameter estimation algorithms are essential. Furthermore the accuracy of the resulting estimates highly depends on what is being measured. In this work we address the output channel selection problem by making use of the degree of observability measures defined by the observability gramians of the associated system and possible different sensor configurations. The observability gramians for large scale and nonlinear first principle models are difficult to compute. Instead the data based approximations, the empirical observability gramians, are constructed. The degree of observability measures are used for comparing the spectral properties of the observability gramians to decide the sensor configuration. The output channel selection procedure is applied to an industrial membrane filtration system.
关键词：SensorsDecision makingOptimal estimationIdentifiabilityObservability gramianDegree of observabilityOutput covariance matrix