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PH   NEUTRALIZATION
       PROCESS




                            BY :
               ANKUR MAHAJAN
             M.E. I&C (REGULAR)
                ROLL NO. 112505
PH   NEUTRALIZATION PROCESS
 pH neutralization process contain both non-
  linearities and changing process dynamics.
 The non linearities are due to the fact that the
  output of the pH sensor is proportional to the
  logrithmic concentration.
 While the changing process dynamics are brought
  out by introducing a buffer into a solution which
  significantly alters the response of the system , by
  changing the concentration of the control reagents,
  and by changing the set point.
SCHEMATIC OF THE PHYSICAL PH
     CONTROL SET UP

                            ADC
                            Card
           pH sensor


Input
stream +                                  controller
Buffer




                   CSTR   Acid     Base
INTRODUCTION TO FUZZY LOGIC
   Fuzzy logic, a relatively new cutting edge technology, is
    nowadays gaining popularity.
   Fuzzy control is a practical alternative for a variety of
    challenging control applications since it provides a convenient
    method for constructing non-linear controllers via the use of
    heuristic information.
   With proper design of its components along with a wisely chosen set
    of rules, fuzzy control is all set to crack the most complex of control
    problems- thanks to Lotfi A. Zedah, who is regarded as the father of
    Fuzzy Logic.
MODEL FOR NEUTRALIZATION
        PROCESS
SIMULATION MODEL
FUZZY LOGIC TOOLBOX
INPUT MEMBERSHIP FUNCTIONS
OUTPUT MEMBERSHIP FUNCTION
FUZZY RULES FOR CONTROLLER
RULE EDITOR IN MATLAB
RULE VIEWER AND RESULT OF
     DEFUZZIFICATION
SURFACE VIEWER
SIMULATION OUTPUT WITH 9 RULES
SURFACE VIEWER
SIMULATION OUTPUT WITH 15 RULES
SIMULATION OUTPUT WITH 21 RULES
CONCLUSION

  Study of pH neutralization process control has
  been carried out successfully using MATLAB.
 It has been demonstrated that fuzzy logic control
  performed well to control the highly nonlinear pH
  neutralization process within the defined range.
 The results obtained from the 9 rules fuzzy logic
  controller is not sufficient to obtain a good pH of
  waste water.
 Although 15 rules fuzzy logic controller able to
  control the pH of waste water, but 21 rules fuzzy
  logic controller is more effectively maintain the pH
  of waste water at 7±1.
REFERENCES

   S. B. Mohd Noor, W. C. Khor and M. E. Ya’acob, “ Fuzzy logic control of a non
    linear pH in waste”, International Journal of Engineering and Technology, Vol.
    1, No. 2, 2004, pp. 197 - 205
THANKS

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fuzzy logic application

  • 1. PH NEUTRALIZATION PROCESS BY : ANKUR MAHAJAN M.E. I&C (REGULAR) ROLL NO. 112505
  • 2. PH NEUTRALIZATION PROCESS  pH neutralization process contain both non- linearities and changing process dynamics.  The non linearities are due to the fact that the output of the pH sensor is proportional to the logrithmic concentration.  While the changing process dynamics are brought out by introducing a buffer into a solution which significantly alters the response of the system , by changing the concentration of the control reagents, and by changing the set point.
  • 3. SCHEMATIC OF THE PHYSICAL PH CONTROL SET UP ADC Card pH sensor Input stream + controller Buffer CSTR Acid Base
  • 4. INTRODUCTION TO FUZZY LOGIC  Fuzzy logic, a relatively new cutting edge technology, is nowadays gaining popularity.  Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information.  With proper design of its components along with a wisely chosen set of rules, fuzzy control is all set to crack the most complex of control problems- thanks to Lotfi A. Zedah, who is regarded as the father of Fuzzy Logic.
  • 10. FUZZY RULES FOR CONTROLLER
  • 11. RULE EDITOR IN MATLAB
  • 12. RULE VIEWER AND RESULT OF DEFUZZIFICATION
  • 18. CONCLUSION  Study of pH neutralization process control has been carried out successfully using MATLAB.  It has been demonstrated that fuzzy logic control performed well to control the highly nonlinear pH neutralization process within the defined range.  The results obtained from the 9 rules fuzzy logic controller is not sufficient to obtain a good pH of waste water.  Although 15 rules fuzzy logic controller able to control the pH of waste water, but 21 rules fuzzy logic controller is more effectively maintain the pH of waste water at 7±1.
  • 19. REFERENCES  S. B. Mohd Noor, W. C. Khor and M. E. Ya’acob, “ Fuzzy logic control of a non linear pH in waste”, International Journal of Engineering and Technology, Vol. 1, No. 2, 2004, pp. 197 - 205