Model Based Predictive Control for Wastewater Applications

Authors:	O' Brien Marie, University of Strathclyde, United Kingdom Castillo Sergio Enrique Pinto, University of Strathclyde, United Kingdom Katebi Reza, University of Strathclyde, United Kingdom
Topic:	8.3 Modelling & Control of Environmental Systems
Session:	Modeling and Control of Environmental Systems
Keywords:	Predictive Control, Waste Treatment, Environmental Engineering, Nonlinear Control

Abstract

The aim of this paper is to demonstrate dissolved oxygen and nitrate control in a wastewater treatment-plant, and an integrated wastewater system, using model predictive control. This control is of importance in maintaining the conditions required for aquatic organisms and so, the entire dynamics must be considered: the urban sewer system, water treatment plant, and river itself. The integrated system is highly nonlinear and therefore the control is implemented using multiple models. Using this method, nonlinear control is obtained based on local linearisations, which are scheduled using Takagi-Sugeno-Kang methods. Results demonstrate the advantages of predictive control in water treatment control.