FAULT TOLERANT MPC WITH AN EMBEDDED FDI SYSTEM

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Kettunen, Markus
dc.contributor.author Jämsä-Jounela, Sirkka-Liisa
dc.date.accessioned 2016-09-23T08:17:35Z
dc.date.issued 2006
dc.identifier.citation Kettunen , M & Jämsä-Jounela , S-L 2006 , FAULT TOLERANT MPC WITH AN EMBEDDED FDI SYSTEM . in IFAC Workshop Applications on Large Scale Industrial Systems, Finland, 30-31.8.2006 . IFAC, Suomen Automaatioseura , Helsinki . en
dc.identifier.other PURE UUID: 9e5a3626-acad-4bfc-bbe3-ab4faccf67f4
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/fault-tolerant-mpc-with-an-embedded-fdi-system(9e5a3626-acad-4bfc-bbe3-ab4faccf67f4).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/36369249/fault_tolerant_mpc_with_an_embedded_fdi_system.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/22335
dc.description.abstract The fault detection and isolation (FDI) in industrial processes has been under an active study during the last decade, but fault tolerant control applications relying to the traditional FDI methods have been scarce. In this paper a fault tolerant model predictive controller (MPC) with an embedded FDI system is developed for controlling a simulated heavy oil fractionator process, the Shell Control Problem (SCP). Two different kinds of FDI systems are used for achieving the fault tolerance in co-operation with MPC: system based on Principal Component Analysis (PCA) and Partial Least Squares (PLS) and a system based on Subspace Model Identification (SMI). The effectiveness of selected methods was successfully tested by introducing bias and drift faults to simulated process measurements. Finally the results are presented and discussed. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IFAC Workshop Applications on Large Scale Industrial Systems, Finland, 30-31.8.2006 en
dc.rights openAccess en
dc.title FAULT TOLERANT MPC WITH AN EMBEDDED FDI SYSTEM en
dc.type Conference article fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Biotechnology and Chemical Technology en
dc.subject.keyword FTC
dc.subject.keyword FDI
dc.subject.keyword PCA
dc.subject.keyword PLS
dc.subject.keyword SMI
dc.subject.keyword MPC
dc.subject.keyword fault tolerance
dc.subject.keyword simulation
dc.subject.keyword Shell control problem
dc.identifier.urn URN:NBN:fi:aalto-201609234339
dc.identifier.doi 10.3182/20060830-2-SF-4903.00026
dc.type.version acceptedVersion


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