Design of a generalized predictive controller for a biological wastewater treatment plant
| Autor: | Mahsa Sadeghassadi, Chris J. B. Macnab, David T. Westwick |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Environmental Engineering 02 engineering and technology Activated sludge model Wastewater Waste Disposal Fluid Setpoint Bioreactors 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Bioreactor Water Science and Technology Sewage Environmental engineering Models Theoretical Oxygen Waste Disposal Facilities Model predictive control Activated sludge Environmental science 020201 artificial intelligence & image processing Sewage treatment Water Pollutants Chemical Waste disposal |
| Zdroj: | Water Science and Technology. 73:1986-2006 |
| ISSN: | 1996-9732 0273-1223 |
| DOI: | 10.2166/wst.2016.050 |
| Popis: | This paper presents a generalized predictive control (GPC) technique to regulate the activated sludge process found in a bioreactor used in wastewater treatment. The control strategy can track dissolved oxygen setpoint changes quickly, adapting to the system uncertainties and disturbances. Tests occur on an Activated Sludge Model No. 1 benchmark of an activated sludge process. A T filter added to the GPC framework results in an effective control strategy in the presence of coloured measurement noise. This work also suggests how a constraint on the measured variable can be added as a penalty term to the GPC framework which leads to improved control of the dissolved oxygen concentration in the presence of dynamic input disturbance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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