Model-based Predictive Control of a Pre-denitrification Plant: a Linear State-space Model Approach
نویسندگان
چکیده
1 Author to whom all correspondence should be addressed. Abstract: This paper focuses on 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 extended state-space model of the process, where an identification horizon is added to include a sequence of past inputs/outputs. This sequence can be used to estimate the model or the updated state of the process, thus eliminating the need for a state observer. The linear state-space model was obtained through subspace identification methods. The controller performance is tested by simulation and the results show the efficiency of the proposed strategy. Copyright © 2002 IFAC
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