2005
DOI: 10.1115/1.1828461
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Optimal Calibration of Parallel Kinematic Machines

Abstract: In this paper, a new method for optimal calibration of parallel kinematic machines (PKMs) is presented. The basis of the methodology is to exploit the least error sensitive regions in the workspace to yield optimal calibration. To do so, an error model is developed that takes into consideration all the geometric errors due to imprecision in manufacturing and assembly. Based on this error model, it is shown that the error mapping from the geometric errors to the pose error of the PKM depends on the Jacobian inv… Show more

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Cited by 38 publications
(16 citation statements)
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“…The resulting constraints are illustrated in Figure 4. This type of arrangement has received considerable attention; for example, a recent issue of this Journal contains three papers on it: calibration in [9], the enumeration of equivalent mechanisms in [10], and dynamics in [11]. We refer to these as a starting point for accessing the literature on this particular mechanism.…”
Section: Motivating Examplesmentioning
confidence: 99%
“…The resulting constraints are illustrated in Figure 4. This type of arrangement has received considerable attention; for example, a recent issue of this Journal contains three papers on it: calibration in [9], the enumeration of equivalent mechanisms in [10], and dynamics in [11]. We refer to these as a starting point for accessing the literature on this particular mechanism.…”
Section: Motivating Examplesmentioning
confidence: 99%
“…By the way this method can only be applied if the machine is properly calibrated and if all the machine components are realized respecting very strict tolerances; otherwise the estimation of the pose of the mobile platform would be erroneous. If these requirements cannot be met, it is necessary to use specific measurements devices like CMM or 3D positioning systems as the ones described in [32,33]. Furthermore 6-DoF PKM robot has complex dynamics without an analytical solution made more complex by the nonlinearity of the actuation systems.…”
Section: Control Of the Hexaglidementioning
confidence: 99%
“…The topic of parameter identification involves numerical methods, which has been studied in depth for a number of years by many researchers. Examination of the literature on robot calibration indicates that a variety of numerical methods have been employed to identify geometric and non-geometric parameters of pure-serial [2] or pure-parallel [3] manipulators. Very few of publications are focused on the calibration of hybrid robot [4].…”
Section: Introductionmentioning
confidence: 99%