Modeling pneumatic servovalves using neural networks

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

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

Conference proceedings International

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

Pages: 187-192

IEEE Conference on Computer-Aided Control Systems Design

Munich, GHANA, OCT 04-06, 2006

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scientific classification

CORDIS: Technological sciences > Engineering > Control engineering > Automation ; Technological sciences > Engineering > Control engineering > Robótica Robotics

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6