Open AccessPredictive Control of aWastewater Treatment Process
Author(s) -
Sergiu Caraman,
Mihaela Sbarciog,
Marian Barbu
Publication year - 2007
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2007.2.2346
Subject(s) - model predictive control , controller (irrigation) , control theory (sociology) , process (computing) , effluent , computer science , process control , dilution , artificial neural network , horizon , control (management) , internal model , mathematics , environmental science , artificial intelligence , environmental engineering , physics , thermodynamics , agronomy , biology , operating system , geometry
The paper deals with the design of a predictive controller for a wastewa- ter treatment process. In the considered process, the wastewater is treated in order to obtain an effluent having the substrate concentration within the standard limits estab- lished by law (below 20 mg/l). This goal is achieved by controlling the concentration of dissolved oxygen to a certain value. The predictive controller uses a neural net- work as internal model of the process and alters the dilution rate in order to fulfill the control objective. This control strategy offers various possibilities for the control law adjustment by means of the following parameters: the prediction horizon, the control horizon, the weights of the error and the command. The predictive control structure has been tested in three functioning regimes, considered essential due to the frequency of their occurrence in current practice.
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