Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/60007
Title: Dynamic model identification for industrial robots
Authors: Vuong, N.D.
Ang Jr., M.H. 
Keywords: Dynamic modeling
Friction models
Model identification
Model-based control
Issue Date: 2009
Source: Vuong, N.D.,Ang Jr., M.H. (2009). Dynamic model identification for industrial robots. Acta Polytechnica Hungarica 6 (5) : 51-68. ScholarBank@NUS Repository.
Abstract: In this paper, a systematic procedure for identifying the dynamics of industrial robots is presented. Since joint friction can be highly nonlinearwith time varying characteristics in the low speed region,a simple and yet effective scheme has been used to identify the boundary velocity that separates this "dynamic" friction region from its static region. The robot's dynamic model is then identified in this static region, where the nonlinnear friction model is reduced to the linear-in-parameter form. To overcome the drawbacks of the least squares estimator, which does not take in any constraints, a nonlinear optimization problem is formulated to guarantee the physical feasibility of the identified parameters. The proposed procedure has been demonstrated on the first four links of the Mitsubishi PA10 manipulator, an improved dynamic model was obtained and the the effectiveness of the proposed identification procedure is demonstrated.
Source Title: Acta Polytechnica Hungarica
URI: http://scholarbank.nus.edu.sg/handle/10635/60007
ISSN: 17858860
Appears in Collections:Staff Publications

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