Dynamic analysis of flexible-link and flexible-joint robots

2006 ◽  
Vol 27 (5) ◽  
pp. 695-704 ◽  
Author(s):  
Ding-guo Zhang ◽  
Sheng-feng Zhou
Keyword(s):  
Dynamic Analysis ◽  
Flexible Link ◽  
Flexible Joint ◽  
Flexible Joint Robots

Dynamic modeling and mode analysis of flexible-link, flexible-joint robots

1998 ◽  
Vol 33 (7) ◽  
pp. 1031-1044 ◽  
Author(s):  
Degao Li ◽  
Jean W. Zu ◽  
Andrew A. Goldenberg
Keyword(s):  
Dynamic Modeling ◽  
Mode Analysis ◽  
Flexible Link ◽  
Flexible Joint ◽  
Flexible Joint Robots

scholarly journals Extended and Unscented Kalman Filtering Applied to a Flexible-Joint Robot with Jerk Estimation

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Mohammad Ali Badamchizadeh ◽  
Iraj Hassanzadeh ◽  
Mehdi Abedinpour Fallah
Keyword(s):  
Initial Conditions ◽  
Covariance Matrices ◽  
Flexible Joints ◽  
Velocity Measurements ◽  
Lagrange Equations ◽  
Robust Nonlinear Control ◽  
Flexible Joint ◽  
Flexible Joint Robots ◽  
Simulation Results

Robust nonlinear control of flexible-joint robots requires that the link position, velocity, acceleration, and jerk be available. In this paper, we derive the dynamic model of a nonlinear flexible-joint robot based on the governing Euler-Lagrange equations and propose extended and unscented Kalman filters to estimate the link acceleration and jerk from position and velocity measurements. Both observers are designed for the same model and run with the same covariance matrices under the same initial conditions. A five-bar linkage robot with revolute flexible joints is considered as a case study. Simulation results verify the effectiveness of the proposed filters.

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