2009
DOI: 10.1007/s11465-009-0009-x
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Model reduction techniques for dynamics analysis of ultra-precision linear stage

Abstract: Spring-damping elements are used to simplify the internal interaction in the proposed finite element (FE) model of an ultra-precision linear stage. The dynamics behavior is studied. The comparison between mode shapes from the eigenvalue analysis shows that the components, except the translator, can represent system dynamics characteristics. A reduction approach is used to simplify the system in a dynamic studied. There is little difference between the vibration mode and the response analysis. The experimental … Show more

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Cited by 2 publications
(1 citation statement)
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“…For example, Chen et al [10] and Li et al [11] conducted a numerical analysis to investigate the influence of gas slip effects, gas supply pressure, and gap parameters on the bearing capacity characteristics of aerostatic bearings. He and Chen [12], Chen and Li [13], and Bao and Mao [14] established dynamic models of ultra-precision positioning stages, including equivalent models of aerostatic bearings, and analyzed the influence of the stiffness characteristics of aerostatic bearings on the dynamic behavior of the stages. Denkena et al [15] established a finite element (FE) model of an ultraprecision positioning system and applied model order reduction to obtain a state space model for compensating dynamic errors.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Chen et al [10] and Li et al [11] conducted a numerical analysis to investigate the influence of gas slip effects, gas supply pressure, and gap parameters on the bearing capacity characteristics of aerostatic bearings. He and Chen [12], Chen and Li [13], and Bao and Mao [14] established dynamic models of ultra-precision positioning stages, including equivalent models of aerostatic bearings, and analyzed the influence of the stiffness characteristics of aerostatic bearings on the dynamic behavior of the stages. Denkena et al [15] established a finite element (FE) model of an ultraprecision positioning system and applied model order reduction to obtain a state space model for compensating dynamic errors.…”
Section: Introductionmentioning
confidence: 99%