Researches of intelligent control system for the sludge activity in the aeration tank of wastewater treatment

The level of the microbial activity of the activated sludge determined the efficiency of the activated sludge wastewater treatment essentially. An intelligent optimal control system in the nature of the best activity of the activated sludge is constituted in this paper. According to the influent water quality, constituted a MIMO-LSSVM soft measurement model to predict the sludge activity with a variety of physical and chemical parameters such as the influent conditions, and took the activity of the activated sludge as a feedback signal, and used fuzzy neural networks to optimize the dissolved oxygen and sludge density setting value. Finally, the inverse control system based on least squares support vector machine was used to decouple and track the setting value of dissolved oxygen density and sludge density. In this paper, Under the constraints of achieving the best activity of the activated sludge, this method not only ensuring the stability of water quality, but also reducing power consumption significantly and improving the energy efficiency of wastewater treatment effectively.