Abstract
This paper presents the results of a modeling and simulation study of an activated sludge process in a sequencing batch reactor (SBR), with emphasis on total nitrogen removal. This study focuses on the effect of dissolved oxygen (DO) and effluent chemical oxygen demand (COD). Neural-network based redictive controller (MPC) is implemented to control the system for the DO set point and give better and acceptable results when compared with the conventional PID controller
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