A HYBRID NEURO -FUZZY (ANFIS) APPROACH TO THE CONTROL SYSTEM OF BENFIELD SOLUTION STAGE IN UREA PLANT

Mohamed A. Soliman, Magdy O. Tantawy, Gamal M. Samy

Abstract


A nonlinear model for the chemical process Benfield Solution (B.S.) stage in urea plant system is presented .This stage in a closed loop chemical process to a chive certain range of values for the concentration of that (B.S.). Different types of controllers such as PID, fuzzy and Neuro-fuzzy are proposed to achieve the required performance. Comparison study was made to select the best con-troller from point of view of transient response parameters (over shoot percentage, settling time ,steady state error) . Therefore, the proposed design confirms the fact that fuzzy control is relevant to the fast control of non-linear processes such as system drives where quantitative meth-ods are not always appropriate

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