Decision Support System Based on Fuzzy Control for a Wastewater Treatment Plant

Abstract: Because of existing uncertainties and non-linearity characteristics of wastewater plants, highly affected by the state of the bacteria involved in each stage, their real-time control must follow an adaptive control rule. This paper presents the control strategy and fuzzy logic rules for a two stage anaerobic wastewater treatment plant in the food sector. PH, temperature and NaOH are controlled in the acidogenic reactor, and a second stage for ph and temperature control takes place in the methanogenic. The solution was tested ina simulated environment and was implemented on a pilot plant on a S7-300 PLC using simple IF.. THEN rules. We connected the plant to a remote Decision Support System to perform better state analysis, process optimization and abnormal situation management.