Please use this identifier to cite or link to this item: https://doi.org/10.1205/026387600527518
DC FieldValue
dc.titleMultiple-objective based model predictive control of pulse jet fabric filters
dc.contributor.authorJu, J.
dc.contributor.authorChiu, M.-S.
dc.contributor.authorTien, C.
dc.date.accessioned2014-10-09T09:57:11Z
dc.date.available2014-10-09T09:57:11Z
dc.date.issued2000-05
dc.identifier.citationJu, J., Chiu, M.-S., Tien, C. (2000-05). Multiple-objective based model predictive control of pulse jet fabric filters. Chemical Engineering Research and Design 78 (4) : 581-589. ScholarBank@NUS Repository. https://doi.org/10.1205/026387600527518
dc.identifier.issn02638762
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/92167
dc.description.abstractWith the increasingly stringent emissions regulations of fine particulates and air toxics, pulse jet fabric filters have become an attractive particulate collection option for utilities. Despite their wide application, the present control algorithm used in fabric filtration systems can best be described as rudimentary. In this paper, a model predictive control (MPC) technique is employed owing to its distinct advantages. Unlike its conventional counterpart, the proposed MPC algorithm takes the economic factor into consideration, which is formulated in a multiple-objective optimization framework. To avoid the local optimum, a global optimization technique is incorporated into the proposed MPC design. Simulation results show that the proposed multiple-objective optimization based MPC design method is especially suitable to the pulse jet fabric filtration process, where the set point change and process disturbance occur frequently.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1205/026387600527518
dc.sourceScopus
dc.subjectModel predictive control
dc.subjectMultiple-objective optimization
dc.subjectPulse jet fabric filter
dc.typeArticle
dc.contributor.departmentCHEMICAL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1205/026387600527518
dc.description.sourcetitleChemical Engineering Research and Design
dc.description.volume78
dc.description.issue4
dc.description.page581-589
dc.description.codenCERDE
dc.identifier.isiut000088051000010
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