Title :
Fuzzy logic based dissolved oxygen control for SBR wastewater treatment process
Author :
Fan, Liping ; Boshnakov, Kosta
Author_Institution :
Autom. Dept., Shenyang Inst. of Chem. Technol., Shenyang, China
Abstract :
The wastewater treatment process is a kind of complex large-scale system, and also an energy intensive process. For the urban wastewater treatment plan, about 50 to 70 percent of the total power energy is consumed in the aeration stage, and meanwhile the actual control method for the aeration process usual simple and crude. So it is possible to reduce the running cost of the entire wastewater treatment system effectively by using more accuracy control method. A kind of fuzzy logic control method to control the aeration process of the urban wastewater treatment plant was presented in this paper. It can control the aeration process by regulating the oxygen transmission coefficient according to the dissolved oxygen index. Simulation results show its validity.
Keywords :
batch processing (industrial); fuzzy control; fuzzy logic; industrial plants; large-scale systems; oxygen; power consumption; wastewater treatment; water pollution control; water quality; SBR; actual control method; aeration process; complex large-scale system; dissolved oxygen control; energy intensive process; fuzzy logic control method; oxygen transmission coefficient; power energy consumption; urban wastewater treatment process; Biological system modeling; Fuzzy control; Inductors; Mathematical model; Nitrogen; Process control; Wastewater treatment; Aeration; Fuzzy Control; Urban Wastewater Treatment Process;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5553972
