fuzzy logic application
DESCRIPTION
TRANSCRIPT
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PH NEUTRALIZATION PROCESS
BY :
ANKUR MAHAJAN
M.E. I&C (REGULAR)
ROLL NO. 112505
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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.
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SCHEMATIC OF THE PHYSICAL PH CONTROL SET UP
ADC Card
controller
AcidBaseCSTR
pH sensor
Input stream + Buffer
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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.
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MODEL FOR NEUTRALIZATION PROCESS
J-2004-V2011.pdf
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SIMULATION MODELJ-2004-V2011.pdf
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FUZZY LOGIC TOOLBOX
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INPUT MEMBERSHIP FUNCTIONS
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OUTPUT MEMBERSHIP FUNCTION
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FUZZY RULES FOR CONTROLLERJ-2004-V2011.pdf
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RULE EDITOR IN MATLAB
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RULE VIEWER AND RESULT OF DEFUZZIFICATION
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SURFACE VIEWER
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SIMULATION OUTPUT WITH 9 RULESJ-2004-V2011.pdf
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SURFACE VIEWER
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SIMULATION OUTPUT WITH 15 RULESJ-2004-V2011.pdf
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SIMULATION OUTPUT WITH 21 RULESJ-2004-V2011.pdf
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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.
J-2004-V2011.pdf
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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
J-2004-V2011.pdf
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THANKS