Mixed Logic Dynamic Model of the Secondary Clarifier

Abstract

The general mathematical models of secondary clarifiers in wastewater treatment processes are usually complicated and cannot be used to construct control systems directly. A method based on a double exponential settling equation is proposed in this paper to construct a kind of mixed logic dynamic model for secondary clarifiers. The advantage of this handling method is that it can extend the control design method of hybrid systEMTo that of activated sludge processes, form a unified optimal control problem expression containing technical indexes, procedure characteristics and environmental pro tection regulations. This new model representing method will lay the foundation of plantwide control design.

Key Words:

• Activated sludge
• mixed logic dynamic model
• secondary clarification

Additional information

Notes on contributors

L.P. Fan

L.P. Fan received her B.S. degree in Electrical Automation from Taiyuan Heavy Machinery Institute, Taiyuan, China, in 1988 and her M.S. degree in Control Theory and Control Engineering from Shenyang Institute of Chemical Technology, Shenyang, China, in 2001. She received her Ph.D. degree in Mechatronics Engineering from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2005. Now she is a Professor in the Automation Department, Shenyang Institute of Chemical Technology. Her teaching and research interests are in the areas of integrated modelling and control of the urban wastewater system, power electronics and motor drives, process control and monitoring.

D.C. Yuan

D.C. Yuan received his B.S. and M.S. degrees in Chemical Engineering from Beijing Institute of Technology, Beijing, China, in 1982 and 1988 respectively. He received his Ph.D. degree in Mechatronics Engineering from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2004. Currently, he is a Professor of Control Theory and Control Engineering at Shenyang Institute of Chemical Technology, Shenyang, China. His teaching and research interests include modelling and optimal control of the biochemical process, hybrid control systems, nonlinear distributed parameter systems and computer aided process engineering.

H.B. Yu

H.B. Yu was born in 1964. He received his M.S. and Ph.D. degrees in Control Theory and Control Engineering from Northeastern University, China, in 1987 and 1997 respectively. Now he is a — researcher of Shenyang Institute of Automation, Chinese Academy of Sciences. He is also a superior member of the Instrumentation, I Systems, and Automation Society, and a member of the council of Chinese Association of Automation. His research interests include intelligent planning in complex industrial system, distributed control system, real-time operating system.