Fuzzy design of waste water treatment plants

In the recent years the designing and operating wastewater treatment plants have come to be more important. Especially lots of multi-way methods and studies are being done for control and automation. Fuzzy logic is one of the most popular methods for controlling and it has large application areas from space shifts to digital cameras. In this thesis fuzzy logic is applied on controlling a wastewater treatment plant which is designed for nitrification and COD removal by traditional methods. Most of the parameters such as dissolved oxygen, alkalinity, waste sludge flowrate, MLSS concentration in aerobic tank and NOx regulation in anoxic tank are controlled with automation by on-line measurable sensors with combination of MATLAB program installed on operators PC. With fuzzy logic control method the operating problems caused by existence of strong non-linearity, time variant parameters and complex multivariable couplings are overcame easily. The success of this method also relies on the capability and experience of the operator who designs and sets the fuzzy logic rules.