Premium
Two‐Level Multivariable Control System of Dissolved Oxygen Tracking and Aeration System for Activated Sludge Processes
Author(s) -
Piotrowski Robert
Publication year - 2015
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.2175/106143014x14062131178916
Subject(s) - aeration , multivariable calculus , activated sludge , environmental science , bandwidth throttling , model predictive control , control system , chemical oxygen demand , oxygen , environmental engineering , control theory (sociology) , engineering , control (management) , sewage treatment , control engineering , waste management , computer science , chemistry , mechanical engineering , electrical engineering , organic chemistry , artificial intelligence , gas compressor
The problem of tracking dissolved oxygen is one of the most complex and fundamental issues related to biological processes. The dissolved oxygen level in aerobic tanks has a significant influence on the behavior and activity of microorganisms. Aerated tanks are supplied with air from an aeration system (blowers, pipes, throttling valves, and diffusers). It is a complex, dynamic system governed by nonlinear hybrid dynamics. Control of the aeration system is also difficult in terms of control of the dissolved oxygen. In this article, a two‐level multivariable control system for tracking dissolved oxygen and controlling an aeration system is designed. A nonlinear model predictive control algorithm was applied to design controllers for each level. This overall hierarchical control system was validated by simulation based on real data records provided by a water resource recovery facility located in Kartuzy, Northern Poland. The effect of control system parameters and disturbances was also investigated.