Prechlorination control using fuzzy logic and enhanced compact genetic algorithm

In this paper, fuzzy logic controller (FLC) with enhanced-cGA is introduced for determining chlorine input rate in water treatment plant. Prechlorination process removes many colloids such as NH3, iron, manganese, algae and bacteria. However, this process is carried out by human's hand with their experience practically. This plant is composed of complex structures, so chlorine input rate has been only determined by the time of day when human control the plant. In this paper, we propose fuzzy logic controller for prechlorination control and enhanced compact genetic algorithm for optimizing parameters of fuzzy logic controller. It shows better performance compared as previous works in simulation works.