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IJSTR >> Volume 2- Issue 1, January 2013 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Tuning Of Conventional Pid And Fuzzy Logic Controller Using Different Defuzzification Techniques

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Afshan Ilyas, Shagufta Jahan, Mohammad Ayyub





Abstract:- This paper presents a method for tuning of conventional PID controller. Simplicity, robustness, wide range of applicability and near-optimal performance are some of the reasons that have made PID control so popular in the academic and industry sectors. Recently, it has been noticed that PID controllers are often poorly tuned and some efforts have been made to systematically resolve this matter. Thus Fuzzy logic can be used in context to vary the parameters values during the transient response, in order to improve the step response performances. Simulation analysis has been carried out for the different processes by conventional and different defuzzification techniques and the results indicate that the values of percentage overshoot are reduced by using fuzzy logic mechanism.



[1] I.J. Nagrath and Gopal M., “Control System Engineering”, 3rd Edition, New age International Publication, 2000.

[2] Ogata K., “Modern Control Engineering”, 3rd Edition, Prentice Hall India Publication, 1997.

[3] Johnson C.D. “Process Control instrumentation Technology”, John Wiley 1977.

[4] Visioli A., “Tuning of PID controllers with fuzzy logic”, IEE proc.-Control Theory Appl. Vol.148, No. 1, January 2001.

[5] Cominos P. and Munro N., “PID controllers: recent tuning methods and design to specification,” IEE Proceedings, 7th January 2002.

[6] McMahon David, “MATLAB DeMYSTiFieD”, Tata McGraw Hill, 2007.
[7] Hua Xiongli,“A comparative Design and tuning for conventional fuzzy control”, IEEE Transaction on system, man and cybernetics-part B cybernetics, Vol.24 No.5, October 1995.

[8] Drainkov D. Hellendoorn H, Reinfran M.,“An Introduction to Fuzzy Control”, Narosa Publication House, 2001.

[9] Chopra Seema, Mitra R. and Kumar Vijay, “Auto tuning of Fuzzy PI type Controller using Fuzzy logic”, International journal of computational cognition (http://www.ijcc.us), vol. 6, no. 1, march 2008.

[10] Gopal M., “Control Systems Principle and design”, Tata McGraw Hill, 2001.