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Title: Identifiability of the Dynamic Parameters of a Class of Parallel Robots in the Presence of Measurement Noise and
Authors: Farhat, Nidal
Mata, Vicente
Díaz-Rodríguez, Miguel
Provenzano, Sebastian
Keywords: Parallel robots
Issue Date: 2008
Abstract: Advanced model based control schemes and the solution of the direct dynamic problem requires accurate knowledge of the dynamic parameters of robotic systems, mainly the inertial properties of the links and friction parameters at the kinematic joints. Only a subset of the dynamic parameters of a robot, known as “base parameters”, can be identified. When parameter identification is performed experimentally, not all the aspects of the robot can be modeled in detail. Moreover, there is noise in measurement variables. These sources of error lead to the fact that not all the base parameters can be properly identified. Therefore, in this paper, the identifiability of the dynamic parameters of a 3 DOF RPS parallel robot, in the presence of noise in measurement and discrepancy in modeling, is addressed. The analysis is carried out by means of a simulated robot and over an actual parallel 3-RPS manipulator
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