Robust Tracking of Bio-Inspired References for a Biped Robot Using Geometric Algebra and Sliding Mode Control
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Fecha
2014-02
Autores
Oviedo-Barriga, J.
González-Jiménez, Luis E.
Bayro-Corrochano, Eduardo
Castillo-Toledo, Bernardino
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Editor
Cambridge University Press
Resumen
Descripción
Controlling walking biped robots is a challenging problem due to its complex and uncertain dynamics. In order to tackle this, we propose a sliding mode controller based on a dynamic model which was obtained using the conformal geometric algebra approach (CGA). The CGA framework permits us to use lines, points, and other geometric entities, to obtain the Lagrange equations of the system. The references for the joints of the robot were bio-inspired in the kinematics of a walking human body. The first and second derivatives of the reference signal were obtained through an exact robust differentiator based on high order sliding mode. The performance of the proposed control schemes are illustrated through simulation.
Palabras clave
Bio-inspired Signal, Biped Tracking, Conformal Geometric Algebra
Citación
Oviedo-Barriga, J.; González-Jiménez, L.E.; Castillo-Toledo, B. and Bayro-Corrochano, E. (2014). Robust Tracking of Bio-Inspired References for a Biped Robot Using Geometric Algebra and Sliding Mode Control. Robotica, vol.33, 209-224. Cambridge University Press. http://dx.doi.org/10.1017/S0263574714000216