Using a PSO algorithm for tuning a PIDβ controller applied to a heat system

Autor:	Ramiro S. Barbosa, Isabel S. Jesus
Rok vydání:	2011
Předmět:	Engineering Mathematical optimization Optimization problem business.industry Control theory Flocking (behavior) Error criteria Particle swarm optimization PID controller Heat equation business Fish schooling
Zdroj:	IFAC Proceedings Volumes. 44:7631-7636
ISSN:	1474-6670
DOI:	10.3182/20110828-6-it-1002.02424
Popis:	In this paper we study the control of a heat diffusion system in the perspective of fractional control and using a particle swarm optimization (PSO) algorithm. PSO is one of the latest evolutionary optimization techniques, inspired by social behavior of bird flocking or fish schooling. It has the better ability of global searching and has been successfully applied in many areas of engineering and science. Simulations are presented assessing the performance of the proposed fractional algorithms.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bdda635fcc67ff6539c9a0bd63a92249 https://doi.org/10.3182/20110828-6-it-1002.02424 Zobrazit plný text záznamu