2024-03-28T13:36:27Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1349172022-02-07T15:35:55Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
A bio-knowledge based method to prevent control system instability
Calvo Rolle, José L.
Couce, A.
Corchado Rodríguez, Emilio Santiago
Sánchez, Miguel A.
Gil González, Ana Belén
Computer Science
This study presents a novel bio-inspired method, based on gain scheduling, for the calculation of Proportional-Integral-Derivative (PID) controller parameters that will prevent system instability. The aim is to prevent a transition to control system instability due to undesirable controller parameters that may be introduced manually by an operator. Each significant operation point in the system is firstly identified. Then, a solid stability structure is calculated, using transfer functions, in order to program a bio-inspired model by using an artificial neural network. The novel method is empirically verified under working conditions in a liquid-level laboratory plant.
2017-09-06T09:14:49Z
2017-09-06T09:14:49Z
2010/12
info:eu-repo/semantics/article
Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on. pp. 430 - 436.
978-1-4244-7377-9
http://hdl.handle.net/10366/134917
en
Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
application/pdf
IEEE
https://gredos.usal.es/bitstream/10366/134917/3/a_bio-knowledge_based_method_to_prevent_control_system_instability.pdf.jpg
Hispana
TEXT
https://creativecommons.org/licenses/by-nc-nd/3.0/
Gredos. Repositorio Documental de la Universidad de Salamanca
http://hdl.handle.net/10366/134917