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# fuzzy logic application

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### fuzzy logic application

1. 1. PH NEUTRALIZATION PROCESS BY : ANKUR MAHAJAN M.E. I&C (REGULAR) ROLL NO. 112505
2. 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. 3. SCHEMATIC OF THE PHYSICAL PH CONTROL SET UP ADC Card pH sensorInputstream + controllerBuffer CSTR Acid Base
4. 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.
5. 5. MODEL FOR NEUTRALIZATION PROCESS
6. 6. SIMULATION MODEL
7. 7. FUZZY LOGIC TOOLBOX
8. 8. INPUT MEMBERSHIP FUNCTIONS
9. 9. OUTPUT MEMBERSHIP FUNCTION
10. 10. FUZZY RULES FOR CONTROLLER
11. 11. RULE EDITOR IN MATLAB
12. 12. RULE VIEWER AND RESULT OF DEFUZZIFICATION
13. 13. SURFACE VIEWER
14. 14. SIMULATION OUTPUT WITH 9 RULES
15. 15. SURFACE VIEWER
16. 16. SIMULATION OUTPUT WITH 15 RULES
17. 17. SIMULATION OUTPUT WITH 21 RULES
18. 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. 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
20. 20. THANKS