State Estimation in Wastewater Engineering: Application to an Anaerobic Process

R. M. Jones, J. F. Macgregor and K. L. Murphy
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R. M. Jones: Wastewater Technology Centre, Environment Canada
J. F. Macgregor: McMaster University, Department of Chemical Engineering
K. L. Murphy: McMaster University, Department of Chemical Engineering

A chapter in Statistical Methods for the Assessment of Point Source Pollution, 1989, pp 171-182 from Springer

Abstract: Abstract The use of an extended Kaiman filter for state estimation in biological wastewater treatment processes is discussed. The application of the technique requires an adequate mechanistic dynamic model, and the identification and modelling of the major sources of stochastic disturbances in the process. The filter allows the on-line tracking of process variables which are not directly measurable. The use of an extended Kaiman filter is illustrated through a simulated application to a high rate anaerobic wastewater treatment process.

Keywords: Kalman Filter; Anaerobic Digestion; Wastewater Treatment Process; Kalman Gain; Stochastic Disturbance (search for similar items in EconPapers)
Date: 1989
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-009-1960-0_10

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DOI: 10.1007/978-94-009-1960-0_10

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