Parameter-Invariant Actuator Fault Diagnostics in Cyber-Physical Systems with Application to Building Automation
2013 (English)In: Control of Cyber-Physical Systems: Workshop held at Johns Hopkins University, March 2013 / [ed] Tarraf, Danielle C., Springer, 2013, Vol. 449, 179-196 p.Chapter in book (Refereed)
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, 179-196 p.
, Lecture Notes in Control and Information Sciences, ISSN 0170-8643 ; 449
building automation, fault detection and diagnostics (FDD), invariant hypothesis testing, heating ventilation and air conditioning (HVAC) systems
IdentifiersURN: urn:nbn:se:kth:diva-139081DOI: 10.1007/978-3-319-01159-2_10ScopusID: 2-s2.0-84904703153ISBN: 978-3-319-01158-5OAI: oai:DiVA.org:kth-139081DiVA: diva2:683513
QC 201401282014-01-042014-01-042014-01-29Bibliographically approved