Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/66445
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dc.titleAn extended self-organizing map network for modeling and control of pulse jet fabric filters
dc.contributor.authorZhuang, H.
dc.contributor.authorChiu, M.-S.
dc.date.accessioned2014-06-17T08:30:28Z
dc.date.available2014-06-17T08:30:28Z
dc.date.issued2001
dc.identifier.citationZhuang, H.,Chiu, M.-S. (2001). An extended self-organizing map network for modeling and control of pulse jet fabric filters. Journal of the Air and Waste Management Association 51 (7) : 1035-1042. ScholarBank@NUS Repository.
dc.identifier.issn10473289
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66445
dc.description.abstractPulse jet fabric filters (PJFFs) have become an attractive option of particulate collection utilities, because they can meet stringent particulate emission limits regardless of variation in operating conditions. Despite their wide applications, the present control algorithm for PJFFs can best be described as rudimentary. In this paper, a modeling and control strategy based on the local model network (LMN) is proposed. An extended self-organizing map (ESOM) network is developed to construct the LMN model of the filtration process using the filter's input - output data. Subsequently, these ESOM local models are incorporated into the design of local generalized predictive controllers (GPC), and the proposed controller design is obtained as the weighted sum of these local controllers. Simulation results show that the proposed controller design yields a better performance than both conventional GPC and proportional plus integral (PI) controllers yield.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCHEMICAL & ENVIRONMENTAL ENGINEERING
dc.description.sourcetitleJournal of the Air and Waste Management Association
dc.description.volume51
dc.description.issue7
dc.description.page1035-1042
dc.description.codenJIJME
dc.identifier.isiutNOT_IN_WOS
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