dc.contributor.author | Calvo Rolle, José L. | |
dc.contributor.author | Couce, A. | |
dc.contributor.author | Corchado Rodríguez, Emilio Santiago | |
dc.contributor.author | Sánchez, Miguel A. | |
dc.contributor.author | Gil González, Ana Belén | |
dc.date.accessioned | 2017-09-06T09:14:49Z | |
dc.date.available | 2017-09-06T09:14:49Z | |
dc.date.issued | 2010/12 | |
dc.identifier.citation | Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on. pp. 430 - 436. | |
dc.identifier.isbn | 978-1-4244-7377-9 | |
dc.identifier.uri | http://hdl.handle.net/10366/134917 | |
dc.description.abstract | 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. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject | Computer Science | |
dc.title | A bio-knowledge based method to prevent control system instability | |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |