ARTIFICIAL INTELLIGENCE BASED CONTROL APPROACH FOR MEMBRANE BIOREACTOR IN SEWAGE WATER TREATMENT

Abstract

Membrane bioreactors (MBR) for wastewater treatment, which have increasingly been employed for the last 15 years and which play an important role in wastewater treatment. It is the continuation of the fundamental contribution of sewage water treatment, which is extended and complemented in various aspects. In this project an advanced control approach is made to bring desired purification for sewage water. The major challenge in controlling MBR is the large amount of uncertainty present in the process models, in the unknown inflow conditions, and in the limited measurement information. Hence, controller development is driven by the necessity to structure uncertainty, to attenuate its harmful effects, and to exploit it wherever possible. Such a control method is model based predictive controller. The frame work for the model-based control of membrane bioreactors (MBR) is developed, which aims at the economical optimization of MBR operation