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    Evaluation of Multiregional Fuzzy-Based pH Cascade Control with ANFIS-Based pH Observer

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    Date
    2012-02
    Type
    Article
    Author
    AlSabbah, Shebel A.
    Al-Khedher, Mohammad
    Younes, Tariq
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    Abstract
    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 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.
    URI
    https://dspace.adu.ac.ae/handle/1/668
    DOI
    https://doi.org/10.3923/rjasci.2012.60.65
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    • Mechanical Engineering

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