This works deals on the dynamics of linear actuators with an experimental set on high speed actuators. These devices are subjected to different undesired dynamic phenomena such as vibrations due to the conjunct presence of finite stiffness and non-zero inertia associated to other eventual dynamical characteristics. Specifically, the attention of this paper is associated to vibrations due to command motion distortion associated to discretization and to successive conversion to a continuous function through DAC (Digital to Analog Converter). To reduce undesired dynamical phenomena, different DACs implement interpolation algorithms. This work analyzes numerically and experimentally the effects of different interpolation approaches in the time domain. Results show how: increasing sample dimension decreases error; truncation affects asymptotic error over the sample dimension; the effect of the type of interpolation is sensible only with a low sample dimension. Then experimental trials was realized showing that: linear interpolation exhibits an increment of measured acceleration with decreasing sample size; Hermite interpolation produced measured acceleration that does not depend on sample size; Bezier interpolation produced the lowest measured acceleration. Thus, the best interpolation method can be adopted, according with the constraints of the specific problem
Effects of DAC interpolation on the dynamics of a high speed linear actuator
Aggogeri, F.;Borboni, A.;
2018-01-01
Abstract
This works deals on the dynamics of linear actuators with an experimental set on high speed actuators. These devices are subjected to different undesired dynamic phenomena such as vibrations due to the conjunct presence of finite stiffness and non-zero inertia associated to other eventual dynamical characteristics. Specifically, the attention of this paper is associated to vibrations due to command motion distortion associated to discretization and to successive conversion to a continuous function through DAC (Digital to Analog Converter). To reduce undesired dynamical phenomena, different DACs implement interpolation algorithms. This work analyzes numerically and experimentally the effects of different interpolation approaches in the time domain. Results show how: increasing sample dimension decreases error; truncation affects asymptotic error over the sample dimension; the effect of the type of interpolation is sensible only with a low sample dimension. Then experimental trials was realized showing that: linear interpolation exhibits an increment of measured acceleration with decreasing sample size; Hermite interpolation produced measured acceleration that does not depend on sample size; Bezier interpolation produced the lowest measured acceleration. Thus, the best interpolation method can be adopted, according with the constraints of the specific problemFile | Dimensione | Formato | |
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