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contributor authorGonzález, Francisco
contributor authorMasarati, Pierangelo
contributor authorCuadrado, Javier
contributor authorNaya, Miguel A.
date accessioned2017-11-25T07:20:23Z
date available2017-11-25T07:20:23Z
date copyright2017/20/1
date issued2017
identifier issn1555-1415
identifier othercnd_012_04_041009.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236413
description abstractFormulating the dynamics equations of a mechanical system following a multibody dynamics approach often leads to a set of highly nonlinear differential-algebraic equations (DAEs). While this form of the equations of motion is suitable for a wide range of practical applications, in some cases it is necessary to have access to the linearized system dynamics. This is the case when stability and modal analyses are to be carried out; the definition of plant and system models for certain control algorithms and state estimators also requires a linear expression of the dynamics. A number of methods for the linearization of multibody dynamics can be found in the literature. They differ in both the approach that they follow to handle the equations of motion and the way in which they deliver their results, which in turn are determined by the selection of the generalized coordinates used to describe the mechanical system. This selection is closely related to the way in which the kinematic constraints of the system are treated. Three major approaches can be distinguished and used to categorize most of the linearization methods published so far. In this work, we demonstrate the properties of each approach in the linearization of systems in static equilibrium, illustrating them with the study of two representative examples.
publisherThe American Society of Mechanical Engineers (ASME)
titleAssessment of Linearization Approaches for Multibody Dynamics Formulations
typeJournal Paper
journal volume12
journal issue4
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4035410
journal fristpage41009
journal lastpage041009-7
treeJournal of Computational and Nonlinear Dynamics:;2017:;volume( 012 ):;issue: 004
contenttypeFulltext


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