2018
DOI: 10.1109/tmech.2018.2854751
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Visualization of Hydraulic Cylinder Dynamics by a Structure Preserving Nondimensionalization

Abstract: This paper reveals a new simplicity of a nominal hydraulic cylinder model whose original representation suffers from too many physical parameters. The eight-dimensional (8-D) parameter space in the original representation is reduced to a 3-D parameter space in the proposed nondimensional representation while preserving the parametric structure. To clarify comprehensive relations between the nonlinear dynamics and many physical parameters, an advanced direct search approach is suggested. More precisely, we can … Show more

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Cited by 20 publications
(16 citation statements)
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References 26 publications
(51 reference statements)
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“…Therefore, this type of MRF mount is effective in controlling small excitations with relatively high frequency components. Recently, a new design structure, to avoid the block-up behavior, was proposed (Sakai and Stramigioli Visuali, 2018). In this design, the cores have been modified to balance the pressure of both the upper and lower chamber.…”
Section: Mrf Mountmentioning
confidence: 99%
“…Therefore, this type of MRF mount is effective in controlling small excitations with relatively high frequency components. Recently, a new design structure, to avoid the block-up behavior, was proposed (Sakai and Stramigioli Visuali, 2018). In this design, the cores have been modified to balance the pressure of both the upper and lower chamber.…”
Section: Mrf Mountmentioning
confidence: 99%
“…Let us consider a hydraulic arm whose nonlinear nominal model of Figures 1 and 2 is a coupling of the hydraulic cylinder dynamics [18] and a pump pressure dynamics defined later. First, the hydraulic cylinder dynamics is described by…”
Section: Nonlinear Nominal Modelmentioning
confidence: 99%
“…Equation (2) assumes the steady flow and the negligible servo dynamics of an open-center valve [25,26]. See [18] for more details of the nonlinear nominal model.…”
Section: Nonlinear Nominal Modelmentioning
confidence: 99%
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