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A Novel Method to Prevent Control System Instability Based on a Soft Computing Knowledge System: Profile on PlumX
Título : A Novel Method to Prevent Control System Instability Based on a Soft Computing Knowledge System
Autor(es) : Calvo Rolle, José L..
Corchado Rodríguez, Emilio
Ferreiro García, Ramón
Laham, Amer
Sánchez,Sánchez, M. Araceli
Gil González, Ana Belén
Palabras clave : Computer Science
Fecha de publicación : 2011
Editor : Springer Science + Business Media
Citación : Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 87, pp. 427-436.
Resumen : The aim of this study is to present a novel soft computing method to assure PID tuning parameters place the system into a stable region by applying the gain scheduling method. First the system is identified for each significant operation point. Then using transfer functions solid structures of stability are calculated to program artificial neural networks, whose object is to prevent system from transitioning to instability. The method is verified empirically under a data set obtained by a pilot plant.
URI : http://hdl.handle.net/10366/134889
ISBN : 978-3-642-19643-0 (Print) / 978-3-642-19644-7 (Online)
ISSN : 1867-5662(Print)/ 1867-5670(Online)
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