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MODEL-BASED PREDICTIVE CONTROL OF A PRE-DENITRIFICATION PLANT: A LINEAR STATE-SPACE MODEL APPROACH
Oscar A. Z. Sotomayor*, Claudio Garcia**
* LSCP – Department of Chemical Engineering
** LAC – Department of Telecommunications and Control Engineering
Polytechnic School of the University of São Paulo, São Paulo-SP, Brazil
Phone: +55-11-3818.2246; Fax: +55-11-3813.2380
E-mail: oscar@lscp.pqi.ep.usp.br
This paper focused the design of a model-based predictive control (MPC or MBPC) technique to regulate the concentration levels of nitrate in both anoxic and aerobic zones of a pre-denitrifying activated sludge plant, aiming to improve the nitrogen (N)-removal from wastewater. The synthesis of the MPC controller is based on a linear state-space model, which was obtained through subspace identification methods. The controller performance is tested by simulations, for two different configurations, and the results show the efficiency of the proposed strategy.
Keywords: Waste treatment, Water pollution, Predictive control, Model-based control, Subspace methods, State-space models, Environment engineering
Session slot T-Tu-E13: Benchmarking of control strategies in wastewater bioprocesses/Area code 7d : Control of Biotechnological Processes
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