Spectral Identification of Inertial Parameters in Forced Sinusoidal Regimes

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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Publication Details

Journal
Journal of Dynamic Systems Measurement and Control
Published
2026-01-06
DOI
https://doi.org/10.1115/1.4070775
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
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article

Spectral Identification of Inertial Parameters in Forced Sinusoidal Regimes

François Xavier Pierrot, Sébastien Krut, C. Robert, Alain Vissiere et al.
Journal of Dynamic Systems Measurement and Control
Robotic Mechanisms and Dynamics
article

Spectral Identification of Inertial Parameters in Forced Sinusoidal Regimes

François Xavier Pierrot, Sébastien Krut, C. Robert, Alain Vissiere, Pierre Noiré
article en

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.

Journal of Dynamic Systems Measurement and ControlVol. 148(4)
Conservatoire National des Arts et Métiers (FR), Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Bouygues (France) (FR), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR), Laboratoire National de Métrologie et d'Essais (FR)
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Robotic Mechanisms and Dynamics
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