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    Evaluation of multiregional fuzzy cascade control for ph neutralization process

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    Date
    2012
    Type
    Article
    Author
    AlSabbah, Shebel A.
    Al-Khedher, Mohammad
    Abu Zalata, Mohammad K.
    Younes, Tariq M.
    Metadata
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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. We 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/1/444
    Citation
    https://www.researchgate.net/publication/228521636_Evaluation_of_multiregional_fuzzy_cascade_control_for_pH_neutralization_process
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    • Mechanical Engineering

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