Title :
Parameters identification of a hybrid model for dry friction
Author :
Nouailletas, Rémy ; Mendes, Eduardo ; Koenig, Damien
Author_Institution :
LCIS Lab., Grenoble Inst. of Technol., Valence, France
Abstract :
An original methodology is proposed to tune the parameters of the model of a mechanical system with dry friction which is modeled with a new simple approach recently proposed. This approach is based on a hybrid (two-modes) model approach: one mode models the system motion and the other the motionless case. In this paper, the hybrid modeling of dry friction is first recalled, then the proposed identification methodology is presented. The inertia, the viscous friction and the Coulomb¿s effect are first identified using the power equation of the system. Secondly, a simple algorithm is proposed to find the system Stribeck effect parameter. The other parameters specific to the used hybrid model are finally tuned to match the real observed data. The proposed parameters identification methodology is compared in simulation with other methods and is validated on a real experimental system.
Keywords :
distributed parameter systems; friction; mechanical variables control; parameter estimation; Coulomb force; dry friction; mechanical system; parameters identification; viscous friction; Equations; Friction; Limit-cycles; Mechanical systems; Motion estimation; Parameter estimation; Power system modeling; Robust control; Sensor phenomena and characterization; Uncertainty;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739203