SYNTHESIS OF PLANTWIDE QUALITY PREDICTION SYSTEM FOR A SINTERING PLANT
Michael Langer, Birgit Vogel
University Wuppertal, automation and process control engineering, Fuhlrottstraβe 10, 42119 Wuppertal, Germany e-mail: langer@uni-wuppertal.de
To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on quality-relevant target variables. The determination of influencing relationship and also the delay-time behaviour of various industrial processes makes it difficult to sythesis a quality projection system. A hybrid modelling method combined with a suitable classification of process characteristics ensures a widespread model synthesis for quality projection. So a sythesis of plantwide quality prdiction system for an iron ore sintering plant could be realized.
Keywords: process control, Neuro-Fuzzy, modeling, design, simulation
Session slot T-Tu-E12: Economic Evaluation of Process Automation in Mineral and Metal Processing/Area code 7b : Mining, Mineral and Metal Processing

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