SYSTEM IDENTIFICATION AND CONTROL OF THE ACTIVATED SLUDGE PROCESS BY USE OF A STATISTICAL MODEL

1988 ◽  
pp. 1161-1172
Author(s):  
M. Hiraoka ◽  
K. Tsumura
Keyword(s):  
System Identification ◽  
Statistical Model ◽  
Activated Sludge ◽  
Activated Sludge Process ◽  
And Control

System Identification and Control of the Activated Sludge Process by Use of a Statistical Model

1989 ◽  
Vol 21 (10-11) ◽  
pp. 1161-1172 ◽  
Author(s):  
M. Hiraoka ◽  
K. Tsumura
Keyword(s):  
Control System ◽  
System Identification ◽  
Statistical Model ◽  
Activated Sludge ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Ar Model ◽  
Diurnal Changes ◽  
Activated Sludge Process ◽  
And Control

The authors have been developing a hierarchical control system for the activated sludge process which consists of an upper level system controlling long-term seasonal variations, a control system of intermediate level aiming at optimization of the process and a control system of lower level controlling diurnal changes or hourly fluctuations. The control system using the multi-variable statistical model is one of the most appropriate control systems based on the modern control theory, for applying the lower level control of the activated sludge process. This paper introduces our efforts for developing the reliable data acquisition system, the control experiments applying the AR-model, one of the statistical models which were conducted at a pilot plant and present studies on the system identification and control at a field sewage treatment plant.

Multivariable modeling and control of an activated sludge process

1998 ◽  
Vol 37 (12) ◽  
pp. 149-156 ◽  
Author(s):  
Carl-Fredrik Lindberg
Keyword(s):  
Activated Sludge ◽  
Nitrate Concentration ◽  
State Space Model ◽  
Activated Sludge Process ◽  
Invariant State ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Space Model ◽  
And Control ◽  
Time Invariant

This paper contains two contributions. First it is shown, in a simulation study using the IAWQ model, that a linear multivariable time-invariant state-space model can be used to predict the ammonium and nitrate concentration in the last aerated zone in a pre-denitrifying activated sludge process. Secondly, using the estimated linear model, a multivariable linear quadratic (LQ) controller is designed and used to control the ammonium and nitrate concentration.

Dynamics and control of an activated sludge process as a mixed culture system

AIChE Journal ◽  
1984 ◽  
Vol 30 (3) ◽  
pp. 368-376 ◽  
Author(s):  
Takeichiro Takamatsu ◽  
Suteaki Shioya ◽  
Hirokazu Kurome
Keyword(s):  
Activated Sludge ◽  
Mixed Culture ◽  
Culture System ◽  
Activated Sludge Process ◽  
Dynamics And Control ◽  
And Control
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