STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES

Abstract : In this chapter, we provide the key ideas on how to build software sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview of the existing linear and nonlinear observers and discuss criteria that help to identify which observer is best suited with respect to the amount of information being available for the WWTP. Depending on the model reliability, the available measurements and the level of uncertainties associated to the influent concentrations, different class of observers can be considered. We distinguish between those that rely on a full model description (e.g., the extended Kalman filter), and those based on a mass-balance model wherein the biological kinetics are assimilated to unknown inputs (e.g., the asymptotic observer). Moreover, if bounds are known for the uncertainties, then interval observers can be designed. We discuss the principles of each class of observers and illustrate them through a number of examples.
Type de document :
Chapitre d'ouvrage
Philippe Quevauviller. Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment, 6 (6), John Wiley & Sons Ltd, 2006, Wastewater Monitoring; Water Quality Measurements, 10: 0-471-49929-3
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https://hal.inria.fr/inria-00122496
Contributeur : Olivier Bernard <>
Soumis le : mercredi 3 janvier 2007 - 12:31:01
Dernière modification le : jeudi 11 janvier 2018 - 16:41:55
Document(s) archivé(s) le : mercredi 7 avril 2010 - 01:26:17

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  • HAL Id : inria-00122496, version 1

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Olivier Bernard, Benoit Chachuat, Jean-Philippe Steyer. STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES. Philippe Quevauviller. Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment, 6 (6), John Wiley & Sons Ltd, 2006, Wastewater Monitoring; Water Quality Measurements, 10: 0-471-49929-3. 〈inria-00122496〉

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