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Simulating Experiments in Closed-Loop Control Systems
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0003-4222-9631
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0003-1473-3670
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0003-3911-8009
2016 (engelsk)Inngår i: ENBIS-16 in Sheffield, 2016Konferansepaper, Oral presentation only (Fagfellevurdert)
Abstract [en]

Design of Experiments (DoE) literature extensively discusses how to properly plan, conduct and analyze experiments for process and product improvement. However, it is typically assumed that the experiments are run on processes operating in open-loop: the changes in experimental factors are directly visible in process responses and are not hidden by (automatic) feedback control. Under this assumption, DoE methods have been successfully applied in process industries such as chemical, pharmaceutical and biological industries.

However, the increasing instrumentation, automation and interconnectedness are changing how the processes are run. Processes often involve engineering process control as in the case of closed-loop systems. The closed-loop environment adds complexity to experimentation and analysis since the experimenter must account for the control actions that may aim to keep a response variable at its set-point value.  The common approach to experimental design and analysis will likely need adjustments in the presence of closed-loop controls. Careful consideration is for instance needed when the experimental factors are chosen. Moreover, the impact of the experimental factors may not be directly visible as changes in the response variables (Hild, Sanders, & Cooper, 2001). Instead other variables may need to be used as proxies for the intended response variable(s).

The purpose of this presentation is to illustrate how experiments in closed-loop system can be planned and analyzed. A case study based on the Tennessee Eastman Process simulator run with a decentralized feedback control strategy (Matlab) (Lawrence Ricker, 1996) is discussed and presented. 

sted, utgiver, år, opplag, sider
2016.
Emneord [en]
Design of Experiments, Closed-Loop Systems, Simulation, Tennessee Eastman Process
HSV kategori
Forskningsprogram
Kvalitetsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-63240OAI: oai:DiVA.org:ltu-63240DiVA, id: diva2:1093014
Konferanse
16th Annual Conference of the European Network for Business and Industrial Statistics (ENBIS), Sheffield, 11-15 September 2016
Prosjekter
Statistical Methods for Improving Continuous Production
Forskningsfinansiär
Swedish Research Council, 4731241Tilgjengelig fra: 2017-05-04 Laget: 2017-05-04 Sist oppdatert: 2019-09-11bibliografisk kontrollert

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Capaci, FrancescaKulahci, MuratVanhatalo, ErikBergquist, Bjarne

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