Adaptive fuzzy logic controller with rule-based changeable universe of discourse for a nonlinear MIMO system

2005 ◽  
Author(s):  
Yi Wang ◽  
Huiwen Deng ◽  
Zheng Chen
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Mimo System ◽  
Rule Based ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy Logic ◽  
Universe Of Discourse

Adaptive fuzzy logic controller for DC–DC converters

2009 ◽  
Vol 36 (2) ◽  
pp. 1540-1548 ◽  
Author(s):  
Cetin Elmas ◽  
Omer Deperlioglu ◽  
Hasan Huseyin Sayan
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy Logic

Self Tuning Based Adaptive Fuzzy Logic Controller in Lab view for Sterilizing Equipments

2014 ◽  
Vol 3 (2) ◽  
pp. 84
Author(s):  
P. J. Ragu
Keyword(s):  
Fuzzy Logic ◽  
Temperature Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
Lab View ◽  
Adaptive Fuzzy Logic ◽  
Self Tuning ◽  
Input Variables ◽  
Temperature Errors

In this paper, temperature monitoring of sterilizing equipment system was established with the help of fuzzy and self tuning Adaptive fuzzy logic controller designed in Lab VIEW software. It combines the advantages of both fuzzy logic and self tuning Adaptive fuzzy logic controller. The implementation attempts to rectify the errors between the measured value and the set point which helps to achieve efficient temperature control. The Adaptive fuzzy controller uses defined rules to control the system based on the current values of input variables and temperature errors. The simulation results presented in order to evaluate the proposed method. The result shows that self tuning  Adaptive fuzzy logic controller was tolerant to disturbance and the temperature control is most accurate.

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