@inproceedings{284e54ee8445425e92d2d153d2d7533f,
title = "An intelligent hybrid fuzzy PID controller",
abstract = "In this study, a design methodology is introduced that blends the classical PID and the fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller has been achieved. Basically, in this design methodology, the classical PID and fuzzy controller have been combined by a blending mechanism that depends on a certain function of actuating error. Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision upon the priority of the two controller parts; namely, the classical PID and the fuzzy constituents. The simulations done on various processes using the new hybrid fuzzy PID controller provides 'better' system responses in terms of transient and steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications. The controller parameters are all tuned by the aid of genetic search algorithm.",
keywords = "Fuzzy PID controllers, Intelligent hybrid controllers, PID controllers, Simulation",
author = "Isin Erenoglu and Ibrahim Eksin and Engin Yesil and Mujde Guzelkaya",
year = "2006",
doi = "10.7148/2006-0062",
language = "English",
isbn = "0955301807",
series = "20th European Conference on Modelling and Simulation: Modelling Methodologies and Simulation Key Technologies in Academia and Industry, ECMS 2006",
publisher = "European Council for Modelling and Simulation",
pages = "62--66",
booktitle = "20th European Conference on Modelling and Simulation",
note = "20th European Conference on Modelling and Simulation: Modelling Methodologies and Simulation Key Technologies in Academia and Industry, ECMS 2006 ; Conference date: 28-05-2006 Through 31-05-2006",
}