TY  - JOUR
T1  - Evaluation of Multiregional Fuzzy-Based pH Cascade Control with ANFIS-Based pH Observer
AU - AlSabbah, Shebel A. AU - Al-Khedher, Mohammad A. AU - Younes, Tariq M. 
JO  - Research Journal of Applied Sciences
VL  - 7
IS  - 2
SP  - 60
EP  - 65
PY  - 2012
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2012.60.65
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2012.60.65
KW  - Titration process
KW  -cascade structure
KW  -multiregional fuzzy
KW  -ANFIS
KW  -pH observer
KW  -Jordan
AB  - In pH reactors, determination and control of pH is a common problem concerning chemical-based
industrial processes due to the non-linearity observed in the titration curve. The researchers introduced a
modified multiregional Fuzzy-Based Control System to overcome the complexity of precise control of pH. In
order to compensate for the experimental inaccuracies in measurements of pH <em>in-situ</em> values; an observer for
pH is implemented using Adaptive Neuro-Fuzzy Inference System (ANFIS). The pH control approach and
ANFIS-based observer are integrated in a nonlinear cascade structure to ensure the dynamic modifications and
stability enhancement. The cascade structure is designed using a multiregional fuzzy PI controller in the master
loop and a Wiener Model-based fuzzy proportional controller as a slave one. The Multiregional Fuzzy Cascade
Control (MFCC) structure is developed to implicate the three main regions of the titration curve.
ER  -