ANFIS inverse control of dissolved oxygen in an activated sludge process

The activated sludge process is the main versatile technology currently in use for wastewater treatment system. Dissolved oxygen (DO) is the key element in the process due to its significance influence upon the bacteria responsible for decomposing the organic pollutants in the wastewater. However, the non-linear nature of DO couple with the time-varying oxygen transfer rate makes the DO control quite complex. This paper presents an adaptive neuro fuzzy inference system (ANFIS) inverse control of dissolved oxygen in an activated sludge process. The performance of the proposed technique is illustrated with tracking of dissolved oxygen reference trajectory and for comparison PI controller is used. The simulation results revealed the effectiveness and the accuracy of the proposed controller in tracking the DO set point. The controller is valuable for an activated sludge process.