Modeling pneumatic servovalves using neural networks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2006

Autores

João Pedro Falcão Carneiro (Autor) FEUP; Fernando Gomes Almeida (Autor) FEUP

Ata de Conferência Internacional

Título: 2006 IEEE Conference on Computer-Aided Control System Design, Vols 1 and 2

Páginas: 187-192

IEEE Conference on Computer-Aided Control Systems Design

Munich, GHANA, OCT 04-06, 2006

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de controlo > Automação ; Ciências Tecnológicas > Engenharia > Engenharia de controlo > Robótica

Outras Informações

ID Authenticus: P-004-R0Y

Abstract (EN): This paper presents a study where static models of the flow stage of a 3/2 pneumatic servovalve are obtained using artificial neural networks. For simulation purposes, a direct model is proposed in which the mass flow is determined for a given working pressure and command input. For control purposes, an inverse model is proposed in which the command input is determined given the working pressure and the desired mass flow. This approach enables the use of mass flow as the synthesised control action, thus rendering the overall pneumatic system affine. Therefore, control techniques requiring this condition on the system model can be directly used. Under normal working conditions' both servovalve models provide an excellent agreement with experimental results taken from an industrial pneumatic servovalve.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6