Parameter-Invariant Actuator Fault Diagnostics in Cyber-Physical Systems with Application to Building AutomationShow others and affiliations
2013 (English)In: Control of Cyber-Physical Systems: Workshop held at Johns Hopkins University, March 2013 / [ed] Tarraf, Danielle C., Springer, 2013, Vol. 449, p. 179-196Chapter in book (Refereed)
Abstract [en]
This paper introduces a robust method for performing active actuator fault detection and diagnostics (FDD) in heating ventilation and air conditioning (HVAC) systems. The proposed actuator FDD strategy, for testing whether an actuator is stuck in a given position, is designed on using an invariant hypothesis testing approach and is an improvement of a previous strategy that employed an adaptive detection strategy. The parameter-invariant detector is formulated to provide a constant detection performance, invariant to unknown building parameters, and it is described how this approach can replace the adaptive detector in the previous work. A closed-loop experimental HVAC testbed at the KTH Royal Institute of Technology campus in Stockholm, Sweden is introduced and employed to evaluate the parameter-invariant detector.
Place, publisher, year, edition, pages
Springer, 2013. Vol. 449, p. 179-196
Series
Lecture Notes in Control and Information Sciences, ISSN 0170-8643 ; 449
Keywords [en]
building automation, fault detection and diagnostics (FDD), invariant hypothesis testing, heating ventilation and air conditioning (HVAC) systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-139081DOI: 10.1007/978-3-319-01159-2_10Scopus ID: 2-s2.0-84904703153OAI: oai:DiVA.org:kth-139081DiVA, id: diva2:683513
Note
Part of ISBN 978-3-319-01158-5
QC 20250214
2014-01-042014-01-042025-02-14Bibliographically approved