A hybrid intelligent controller to reduce the energy of a wastewater treatment plant

This paper presents a Fuzzy Logic Control (FLC) scheme and Adaptive Network Fuzzy Inference System (ANFIS) for a biological waste water treatment plant, with the goal of reducing aeration energy. The famous Benchmark Simulation Model1 (BSM1) is used to test the control strategy. This hybrid controller works based on the control objectives framed in terms of rules and hence it does not require any set point to control the plant. The FLC is designed to meet the above mentioned goal. The proposed scheme has been tested under dry weather profile. To reduce the aeration energy consumption, ANFIS prediction of ammonia in tank5, is used by the FLC for the manipulation of oxygen transfer coefficient. Aeration energy of 200kWh/d has been recovered from the aeration system. Substantial improvement in the aeration energy reduction resulted when compared with the benchmark PI controller. Simulation results show the benefits of the proposed method.