2024-03-29T08:39:07Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1349112024-02-14T09:19:29Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
A bio-inspired knowledge system for control tuning (BIO-KSY)
Calvo Rolle, José L.
Ferreiro García, Ramón
Corchado Rodríguez, Emilio Santiago
Hernández Ramos, Pedro
Sánchez Sánchez, María Araceli
Sánchez, Miguel A.
Pérez Delgado, María Luisa
Computer Science
This study presents a novel bio-inspired knowledge system, based in closed loop tuning, for the calculation of the Proportional-Integral-Derivative (PID) controller parameters. The aim is to achieve automatically the best parameters according with the work point and the dynamics of the plant. For it, in our study, several typical expressions and systems have been taken into account to build the model. Each of these expressions is appropriated for a particular system. The novel method is empirically verified with a real dataset obtained by a liquid-level laboratory plant.
2017-09-06T09:14:46Z
2017-09-06T09:14:46Z
2017-09-06T09:14:46Z
2011/10
info:eu-repo/semantics/article
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on. pp. 600 - 607.
978-1-4577-1122-0
http://hdl.handle.net/10366/134911
en
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Unported
IEEE