Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants
文献类型： 会议论文
第一作者： Simon Hellmann
作者： Simon Hellmann 1 ; Arne-Jens Hempel 2 ; Stefan Streif 3 ; S?ren Weinrich 4 ;
作者机构： 1.Biochemical Conversion Department, DBFZ Deutsches Biomasseforschungszentrum gGmbH, Leipzig, Germany
2.Saxon University of Cooperative Education, Glauchau, Germany
3.Chair of Automatic Control and System Dynamics, Chemnitz University of Technology, Chemnitz, Germany
4.Faculty of Energy. Building Services. Environmental Engineering, Munster University of Applied Sciences, Münster, Germany|Biochemical Conversion Department, DBFZ Deutsches Biomasseforschungszentrum gGmbH, Leipzig, Germany
关键词： Process monitoring;Analytical models;Parameter estimation;Automation;Plants (biology);Biological system modeling;Process control
会议名称： International Conference on Process Control
主办单位：
页码： 84-89
摘要： Dynamic operation of anaerobic digestion plants requires advanced process monitoring and control. Different simplifications of the Anaerobic Digestion Model No. 1 (ADM1) have been proposed recently, which appear promising for model-based process automation and state estimation. As a fundamental requirement, observability and identifiability of these models are analyzed in this work, which was pursued through algebraic and geometric analysis. Manual algebraic assessment was successful for small models such as the ADM1-R4 and simplified versions of the ADM1-R3, which were derived in this context. However, for larger model classes the algebraic approach showed to be insufficient. By contrast, the geometric approach, implemented in the STRIKE GOLDD toolbox, allowed to show observability for more complex models (including ADM1-R4 and ADM1-R3), employing two independent algorithms. The present study lays the groundwork for state observer design, parameter estimation and advanced control resting upon ADM1-based models.
分类号： tp27-53
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