Identification of rigid body properties from vibration measurements

Almeida, Raquel; Urgueira, A. P. V.; Maia, N. M. M.

doi:10.1016/j.jsv.2006.07.043

Cited by 40 publications

(24 citation statements)

References 7 publications

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“…Here, the boundary conditions given in Eqs. (2) and (3) are approximated by FD with a truncation error of order one Summarizing Eqs. (5) and (9)- (11) and denoting u n as in Fig.…”

Section: Approximation By Finite Differencesmentioning

confidence: 99%

“…Rigid-body parameters (mass, center-of-gravity, inertia tensor) of a softly suspended flexible structure have been identified based on measured vibration data by a modal analysis approach in Ref. [2]. Various techniques to identify viscous damping parameters in linear dynamic models and to assess these methods in an experimental setting in terms of frequency-domain and spatial fit are investigated in Ref.…”

mentioning

confidence: 99%

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Multi-objective parameter identification of Euler–Bernoulli beams under axial load

Talic

Schirrer

Kozek

et al. 2015

Journal of Sound and Vibration

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“…Here, the boundary conditions given in Eqs. (2) and (3) are approximated by FD with a truncation error of order one Summarizing Eqs. (5) and (9)- (11) and denoting u n as in Fig.…”

Section: Approximation By Finite Differencesmentioning

confidence: 99%

mentioning

confidence: 99%

Multi-objective parameter identification of Euler–Bernoulli beams under axial load

Talic

Schirrer

Kozek

et al. 2015

Journal of Sound and Vibration

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“…This difficulty can be circumvented by using Frequency domain methods because it is possible to separate the rigid and the elastic system behaviour. The methods based on the Frequency domain are mainly divided into three groups: Inertia Restraint methods (IRM) [1,3], Methods of Direct Physical Parameter Identification [2] and the Modal methods (MM) [4,[11][12][13][14]. In this work, the authors focused their attention on the use of IRM or the so-called Mass Line methods (MLM) that are based on the principle that the dynamic response of structures in free-free conditions are characterized, in the low frequency region, by a constant term designated as inertial restraint or mass line.…”

Section: Introductionmentioning

confidence: 99%

Experimental Determination of Rigid Body Properties: An Evaluation on the Use of Piezoelectric or MEMS Tri-Axial Accelerometers

et al. 2018

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Abstract. The development of new sensors that are available at more accessible prices may lead to the spread of their use on common studies in structural dynamics. One of areas of interest is the experimental determination of rigid body properties that are mandatory when the vibration response is to be calculated at low frequency ranges. In this work, a comparison of the experimental determination of rigid body properties is carried out to evaluate the performance of the commonly used tri-axial piezoelectric accelerometers and their equivalent MEMS sensors. Although their prices are quite different, both sensors can measure the inertia restraint line that is related to the inertia properties of the tested object. An identification algorithm is applied to the frequency response functions obtained by using both sensors, leading to the estimation of the body mass value, as well as the three coordinates of the centre of mass and the six elements of the inertia tensor. An experimental example supports the use of the referred low-cost sensors.

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“…Other methods use frequency response functions and/or modal analysis to identify the inertia parameters, often together with the stiffness and damping characteristics of the mount elements [34] For spacecraft, rough estimation procedures of the inertia parameters based on onboard instrumentation can be implemented [5]. An algorithm proposed in [35] is based on the method of least squares and the method of conjugate gradients.…”

Section: Introductionmentioning

confidence: 99%

A method for inertia tensors and centres of masses identification on symmetric precessions

Dudarenko

Melnikov

2014

2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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A knowledge of the inertia tensors and centre of gravity locations of rigid bodies and rigid mechanical systems is required in precise control of motion and in many other applications whenever the dynamics of them is significantly determined by these inertia parameters. This paper presents a new method for identifying the inertia tensor and coordinates of the centre of mass of a rigid body or of a rigid mechanical system. The proposed method is based on the work-energy principle and provides high accuracy of identification even on devices with essential dissipation. The tensor and centre of gravity location are defined on a single spherical motion -symmetric precession. The paper gives a survey of existing inertia parameter identification methods, the theoretical fundamentals of the proposed identification method, the hybrid identification device and data processing procedure with error estimation on dissipative systems using proposed and classical methods.

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Identification of rigid body properties from vibration measurements

Cited by 40 publications

References 7 publications

Multi-objective parameter identification of Euler–Bernoulli beams under axial load

Multi-objective parameter identification of Euler–Bernoulli beams under axial load

Experimental Determination of Rigid Body Properties: An Evaluation on the Use of Piezoelectric or MEMS Tri-Axial Accelerometers

A method for inertia tensors and centres of masses identification on symmetric precessions

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