Decentralized state estimation for different substructure layouts of an adaptive high-rise structure

Autor: Charlotte Stein, Amelie Zeller, Spasena Dakova, Michael Böhm, Oliver Sawodny, Cristina Tarín
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Mathematical and Computer Modelling of Dynamical Systems, Vol 30, Iss 1, Pp 639-657 (2024)
Druh dokumentu: article
ISSN: 13873954
1744-5051
1387-3954
DOI: 10.1080/13873954.2024.2382730
Popis: Active control in adaptive structures allows for reducing the structural weight of a building and thus to drastically decrease the construction sector’s global impact. For an active control, it is necessary to estimate the state. Especially for large structures, decentralized approaches are particularly advantageous. However, the choice of the individual decentralized models, the substructuring, is important. This work considers decentralized state estimation for different substructure layouts obtained by the Relative Gain Array (RGA) for an adaptive high-rise structure. The estimators are realized using Information Filters (IF) based on reduced models derived from the full model via SEREP-Guyan and modal reduction. Different degrees of interconnection (none, sparse, full) are investigated w. r. t. estimation accuracy and robustness towards communication failure. For more substructures the estimation error increases. Depending on the layout, communicating is beneficial, but a full interconnection is not necessary for a sufficient estimation. In case of a failed information exchange, communicating estimators should adapt to the fault.
Databáze: Directory of Open Access Journals
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