Mathematical Model and Advance Control for Activated Sludge Process in Sequencing Batch Reactor

Ahmmed S Ibrehem (Department of Chemical Engineering, University of Malaysia, 50603, Kuala Lumpur, Malaysia)
Mohamed Azlan Hussain (Department of Chemical Engineering, University of Malaysia, 50603, Kuala Lumpur, Malaysia)

ASEAN Journal of Chemical Engineering
Vol 9, No 1 (2009)

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