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A predictive robust cascade position-torque control strategy for Pneumatic Artificial Muscles

  • Lotfi Chikh*
  • , Philippe Poignet
  • , François Pierrot
  • , Micaël Michelin
  • *Autor correspondiente de este trabajo
  • Université de Montpellier II

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

A robust cascade strategy is proposed and tested on an electropneumatic testbed for parallel robotic applications. It is applied on Pneumatic Artificial Muscles (PAMs). Nonlinear models are developed and presented. By specifying the pressure average between the two muscles, it is possible to control the torque by controlling the pressure in each muscle. A constrained LMI based H controller is synthesized for the pressure inner loop. A computed torque is applied on the torque loop and a Generalized Predictive Controller (GPC) controller is then applied to control position of the muscles. Experimental results show the feasibility of the control strategy and good performances in terms of robustness and dynamic tracking.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2010 American Control Conference, ACC 2010
EditorialIEEE Computer Society
Páginas6022-6029
Número de páginas8
ISBN (versión impresa)9781424474264
DOI
EstadoPublicada - 2010

Serie de la publicación

NombreProceedings of the 2010 American Control Conference, ACC 2010

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