Services on Demand
Journal
Article
Indicators
Cited by SciELO
Access statistics
Related links
Similars in
SciELO
Share
Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
Print version ISSN 0254-0770
Abstract
TERAN-PICON, Juan C; ANDEREZ, José and CAMACHO, Oscar. Genetics algorithms as a tuning tool for PID and sliding mode controllersAlgoritmos genéticos como herramienta de ajuste para controladores PID y de modo deslizante. Rev. Téc. Ing. Univ. Zulia [online]. 2005, vol.28, n.3, pp.200-209. ISSN 0254-0770.
In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller.
Keywords : Genetic algorithms; tuning parameters; PID; sliding mode control.












