Title :
System identification of activated sludge process
Author :
Huong Pei Choo ; Sahlan, Shafishuhaza ; Wahab, N.A.
Author_Institution :
Fac. of Electr. Eng., UTM Malaysia, Johor Bahru, Malaysia
Abstract :
In this paper, an activated sludge process model is obtained using two nonlinear system identification techniques. These techniques are Nonlinear ARX Modeling and Hammerstein-Wiener Modeling. A set of raw data from an existing activated sludge process, considered as black box, two different models are obtained and compared in terms of its best fit percentage. From the result, it is concluded that the Hammerstein-Wiener Modeling technique yields better result with lower order and best fit of 91.6%.
Keywords :
nonlinear equations; sludge treatment; Hammerstein-Wiener modeling; activated sludge process; black box modelling; nonlinear ARX modeling; nonlinear system identification techniques; Atmospheric modeling; Biological system modeling; Effluents; activated sludge process; nonlinear models; system identification;
Conference_Titel :
Control, Systems & Industrial Informatics (ICCSII), 2012 IEEE Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-1022-2
DOI :
10.1109/CCSII.2012.6470488
