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dc.contributor.authorAlSabbah, Shebel A.
dc.contributor.authorAl-Khedher, Mohammad
dc.contributor.authorYounes, Tariq
dc.descriptionAl Sabbah, S. A., Al-Khedher, M. A., & Younes, T. M. (2012). Evaluation of Multiregional Fuzzy-Based pH Cascade Control with ANFIS-Based pH Observer. Research Journal of Applied Sciences, 7(2), 60-65.
dc.description.abstractIn 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 in-situ 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.en_US
dc.subjectCascade structureen_US
dc.subjectTitration processen_US
dc.subjectmultiregional fuzzyen_US
dc.subjectAdaptive Neuro-Fuzzyen_US
dc.subjectPH observeren_US
dc.subjectInference System
dc.titleEvaluation of Multiregional Fuzzy-Based pH Cascade Control with ANFIS-Based pH Observeren_US

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