Title :
Tuning Fuzzy Control Rules via Genetic Algorithms
Author :
Lagunas-Jiménez, Rubén ; Pitalúa-Díaz, Nun
Author_Institution :
Univ. Autonoma de Campeche, Campeche
Abstract :
In this paper a simple genetic algorithm is used to tuner a fuzzy controller. The genetic algorithm is used off-line in order to find the better rules by an optimization procedure. The considered plant is an experimental D.C. servosystem, and the problem control corresponds to the control of the angular position. The genetic algorithm operates with populations who correspond to consequents of the rule base.
Keywords :
fuzzy control; genetic algorithms; DC servosystem; fuzzy control; genetic algorithms; optimization; Automatic control; Error correction; Fuzzy control; Genetic algorithms; Linear feedback control systems; Niobium; Optimal control; Servosystems; State feedback; Temperature control;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-2974-5
DOI :
10.1109/CERMA.2007.4367714
