State estimation for continuous emulsion polymerization Journal Articles

abstract

• AbstractVarious aspects of the use of extended Kalman Filters for tracking the states of continuous emulsion polymerization reactors are investigated. The importance of introducing meaningful nonstationary stochastic states to account for unknown impurities, initiator efficiencies, modelling errors, etc. is illustrated. The robustness of these state estimators to unmodelled and unmeasured disturbances, to modelling errors, and to input errors is evaluated. A procedure for selecting an optimal set of on‐line sensors is presented. The emulsion polymerization of styrene‐butadiene rubber (SBR) is used as the example system.

authors

• Gagnon, Louise
• Macgregor, John Frederick

status

• published 

publication date

• June 1991

has subject area

• 0904 Chemical Engineering (FoR)
• 0914 Resources Engineering and Extractive Metallurgy (FoR)
• Chemical Engineering (Science Metrix)

published in

• Canadian Journal of Chemical Engineering  Journal

keywords

• CHAIN-LENGTH DISTRIBUTION
• EMULSION POLYMERIZATION
• Engineering
• Engineering, Chemical
• LATEX REACTOR
• POLYMERS
• REAL-TIME ESTIMATION
• ROBUSTNESS
• SENSOR SELECTION
• STATE ESTIMATION
• STYRENE BUTADIENE
• Science & Technology
• Technology

Digital Object Identifier (DOI)

• 10.1002/cjce.5450690307

start page

• 648

end page

• 656

volume

• 69

issue

• 3