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ANFIS: Self‐tuning Fuzzy PD Controller for Twin Rotor MIMO System
Author(s) -
Mahmoud Thair S.,
Marhaban Mohammad H.,
Hong Tang S.
Publication year - 2010
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20543
Subject(s) - adaptive neuro fuzzy inference system , control theory (sociology) , controller (irrigation) , fuzzy logic , rotor (electric) , fuzzy control system , computer science , neuro fuzzy , self tuning , control engineering , artificial neural network , engineering , artificial intelligence , pid controller , control (management) , temperature control , mechanical engineering , agronomy , biology
This work presents a self‐tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, α. The value of α is calculated directly from a fuzzy rule base defined as error and change of error of the controlled variable. A combination of adaptive neural fuzzy inference system and fuzzy subtractive clustering method was used, where the objective was to improve its time response, while reducing its computational complexity. Simulation results show performance improvement in comparison with that of the previous method. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.