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    Spectral Identification of Inertial Parameters in Forced Sinusoidal Regimes

    Source: Journal of Dynamic Systems, Measurement, and Control:;2026:;volume( 148 ):;issue:004::page 71
    Author:
    Robert, Clément
    ,
    Krut, Sébastien
    ,
    Company, Olivier
    ,
    Vissiere, Alain
    ,
    Noire, Pierre
    ,
    Pierrot, François
    DOI: 10.1115/1.4070775
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This paper presents an approach for identifying all the inertial parameters of a solid (mass, position of the center of gravity, and inertia matrix) without repositioning the solid. The identification is based on the use of a hexapod parallel robot capable of six degree-of-freedom (DOF) motions and a 6–component force/torque sensor. The solid to be characterized is placed on the sensor, which is attached to the robot. The robot is used to impose different sinusoidal excitation trajectories in succession. The reaction forces are recorded at the same time, and the inertial parameters are identified by solving the Newton-Euler equations in the frequency domain using the Fourier transform. This solution in the frequency domain allows for precise computation with the following advantages: (i) maximum decoupling of the equations for optimal resolution, individually adapted to each parameter; (ii) simplicity of the experimental setup and the resolution method. Only three elements are required (the solid to be evaluated, the force/torque sensor, and the robot). Data processing is not overly complex and does not require overly restrictive synchronization of the clocks of the different systems; (iii) fine adjustment of the force/torque sensor (offset calibration) is not necessary.
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      Spectral Identification of Inertial Parameters in Forced Sinusoidal Regimes

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4316587
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorRobert, Clément
    contributor authorKrut, Sébastien
    contributor authorCompany, Olivier
    contributor authorVissiere, Alain
    contributor authorNoire, Pierre
    contributor authorPierrot, François
    date accessioned2026-08-23T08:27:51Z
    date available2026-08-23T08:27:51Z
    date copyright2026/07/01
    date issued2026
    identifier issn0022-0434
    identifier otherds-25-1242.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4316587
    description abstractAbstract. This paper presents an approach for identifying all the inertial parameters of a solid (mass, position of the center of gravity, and inertia matrix) without repositioning the solid. The identification is based on the use of a hexapod parallel robot capable of six degree-of-freedom (DOF) motions and a 6–component force/torque sensor. The solid to be characterized is placed on the sensor, which is attached to the robot. The robot is used to impose different sinusoidal excitation trajectories in succession. The reaction forces are recorded at the same time, and the inertial parameters are identified by solving the Newton-Euler equations in the frequency domain using the Fourier transform. This solution in the frequency domain allows for precise computation with the following advantages: (i) maximum decoupling of the equations for optimal resolution, individually adapted to each parameter; (ii) simplicity of the experimental setup and the resolution method. Only three elements are required (the solid to be evaluated, the force/torque sensor, and the robot). Data processing is not overly complex and does not require overly restrictive synchronization of the clocks of the different systems; (iii) fine adjustment of the force/torque sensor (offset calibration) is not necessary.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSpectral Identification of Inertial Parameters in Forced Sinusoidal Regimes
    typeJournal Paper
    journal volume148
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4070775
    journal fristpage71
    journal lastpage88
    page18
    treeJournal of Dynamic Systems, Measurement, and Control:;2026:;volume( 148 ):;issue:004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian