M.S. (Master of Science)
Department of Electrical Engineering
Fuzzy systems; Electronic controllers
The comparative study between the Proportional Integral Derivative controller, the Fuzzy Logic controller and the Fuzzy Supervisory controller, shows the efficiency of the Fuzzy controllers over the P-ID controller. The purpose of this thesis is to design a temperature controller using different methods and do a relative study of the results. The Proportional Integral Derivative controller is designed to eliminate the integral saturation and initial bump in transfer. The Fuzzy Logic Controller is implemented using Fuzzy Inference Development Environment (FIDE Version 1). The Fuzzy Inference Development Environment requires conception of membership functions for fuzzification and defuzzification, and a rule base for fuzzy logic to work. The Supervisory Fuzzy Controller is also implemented using Fuzzy Inference Development Environment (FIDE Version 1). A rule base is written such that the Fuzzy Controller changes the control parameters of the lower level PID controller. The results of the Fuzzy Controllers are compared relatively with the results of the PID controller. The comparative study shows that the Fuzzy Controllers perform relatively better than the PID controller in spite of elimination of complicated system transfer functions.
Galada, Manish U., "Efficiency of fuzzy and adaptive fuzzy controllers relatives to PID controller" (1995). Graduate Research Theses & Dissertations. 2816.
x, 114 pages
Northern Illinois University
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