Fuzzy control of aeration in an activated sludge wastewater treatment plant: design, simulation and evaluation

• Published in: APPLICATION OF MODELS IN WATER MANAGEMENT Vol. 39; no. 4; pp. 71 - 78
• Main Authors: Kalker, T.J.J., van Goor, C.P., Roeleveld, P.J., Ruland, M.F., Babuška, R.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford Elsevier Ltd 01.01.1999; Pergamon; IWA Publishing
• Subjects: Activated sludge; activated sludge process; Aeration; aeration control; Applied sciences; Biological and medical sciences; Biological treatment of waters; Biotechnology; Computer simulation; Control; Controllers; Design; Design optimization; dynamic simulation; Energy consumption; Environment and pollution; Evaluation; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; Fuzzy control; Fuzzy logic; Fuzzy systems; General purification processes; Industrial applications and implications. Economical aspects; intermittent aeration; Levels; Matlab; Nitrogen removal; Pollution; Removal; SIMBAR; Sludge; Wastewater; Wastewater treatment; Wastewater treatment plants; Wastewaters; Water treatment and pollution; Water treatment plants; fuzzy control; activated sludge process; dynamic simulation; SIMBAR; intermittent aeration; aeration control; Wastewater treatment; Matlab; Aeration; Activated sludge; Fuzzy control; Waste water purification; Modeling; Sewage treatment plant; Biological purification
• ISBN: 008042757X; 9780080427577
• ISSN: 0273-1223; 1996-9732
• DOI: 10.1016/S0273-1223(99)00058-X

Fuzzy logic can in several ways be applied to improve the control of the activated sludge system. In the present study, two types of fuzzy logic controllers were developed for intermittent aeration control: a low-level fuzzy controller for DO control and a high-level controller for nitrogen removal. A Simulink-SIMBA® model was used to subsequently design and optimise the controller and furthermore to compare various control strategies. The results indicate that the direct fuzzy controller allows for some improvements in comparison with a PI controller. Nevertheless, it is suggested that high-level controllers have more potentials for improving and integrating the control of wastewater treatment. The developed high-level fuzzy controller performs better than two conventional controllers in terms of energy consumption and, at the same time, results in a slightly better effluent quality. Design and tuning were quite straightforward. Since the rule base applied is comprehensive it is expected that in practice the controller will meet with the demands of the operator.