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- W2012012562 abstract "Instrumentation to support advances in particle-fluid separation control have recently become commercially available; however process models, system identification and automatic control laws are still required. This article first describes the derivation and simulation of a dynamic model for the flocculation process based on a population balance approach. This process model contains a poorly modeled function of the coagulant, mixing power, and average particle size. Accurate on-line identification of this function will be critical for the implementation of high performance flocculation control. As an initial step in this direction, this article describes experimental work involving identification of this unknown function across independent controlled experiments. Consistent results partially validate the proposed system model. The ultimate objective is to use detailed particle size distribution measurements and the dynamic models of particle flocculation to analyze and develop control laws for the flocculation process." @default.
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- W2012012562 date "1998-01-01" @default.
- W2012012562 modified "2023-10-14" @default.
- W2012012562 title "Simulation and system identification of dynamic models for flocculation control" @default.
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- W2012012562 doi "https://doi.org/10.1016/s0273-1223(98)00381-3" @default.
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