DocumentCode :
2337920
Title :
Tension optimization for the dynamic model of cable-driven humanoid arm
Author :
Cui, Xiang ; Wang, Jianhua ; Chen, Weihai ; Zhang, Jingbing
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
18-20 July 2012
Firstpage :
1705
Lastpage :
1710
Abstract :
A human upper-limb endoskeleton has 7 degrees of freedom to achieve various tasks dexterously. Therefore, the biological structures of human arm are attractive to researchers, and in this paper, a 7-DOF (degree of freedom) humanoid arm with cable-driven is presented. For CDHA inheriting the human arm´s natural features, it is expected to possess the remarkable advantages of a human arm. Then a critical issue, i.e., the dynamic modeling of the CDHA is conducted based on Lagrangian formulation. For more effective tension control, the optimization method of cable tension distribution is addressed with some restrictions, that is, limiting torque constraints of actuators, tension constraints, controllable workspace and motion performance. At last, several simulations in MATLAB of the dynamic model and tension optimization algorithm are illustrated.
Keywords :
dexterous manipulators; humanoid robots; manipulator dynamics; motion control; optimisation; tensile strength; torque control; CDHA; Lagrangian formulation; MATLAB; actuator; biological structure; cable tension distribution; cable-driven humanoid arm; degree of freedom humanoid arm; dynamic modeling; human arm natural features; human upper-limb endoskeleton; motion performance; optimization method; tension constraint; tension control; tension optimization algorithm; torque constraint; Computational modeling; Dynamics; Jacobian matrices; Joints; Kinematics; Mathematical model; Power cables; Cable-driven parallel mechanism; Dynamic modeling; Optimal tension distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
Type :
conf
DOI :
10.1109/ICIEA.2012.6361000
Filename :
6361000
Link To Document :
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