New Dry Friction Model with Load- and Velocity-Dependence and Dynamic Identification of Multi-DOF Robots
Usually, the joint transmission friction model for robots is composed of a viscous friction force and of a constant dry sliding friction force. However, according to the Coulomb law, the dry friction force depends linearly on the load driven by the transmission, which has to be taken into account for robots working with large variation of the payload or inertial and gravity forces. Moreover, for robots actuating at low velocity, the Stribeck effect must be taken into account. This paper proposes a new inverse dynamic identification model for n degrees of freedom (dof) serial robot, where the dry sliding friction force is a linear function of both the dynamic and the external forces, with a velocity-dependent coefficient. A new sequential identification procedure is carried out. At a first step, the friction model parameters are identified for each joint (1 dof), moving one joint at a time (this step has been validated in 23). At a second step, these values are fixed in the n dof dynamic model for the identification of all robot inertial and gravity parameters. For the two steps, the identification concatenates all the joint data collected while the robot is tracking planned trajectories with different payloads to get a global least squares estimation of inertial and new friction parameters. An experimental validation is carried out with an industrial 3 dof robot.
P. Hamon M. Gautier P. Garrec
CEA,LIST,Interactive Robotics Laboratory,18 route du Panorama,BP6,Fontenay-aux-Roses,F-92265,France University of Nantes/IRCCyN,1 rue de la No(e) BP 92101,Nantes Cedex 03,F-44321,France CEA,LIST,Interactive Robotics Laboratory,18 route du Panorama,BP6,Fontenay-aux-Roses,F-92265,France
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
1077-1084
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）