Development of an identification method for the minimal set of inertial parameters of a multibody system

被引:0
|
作者
Homma, T. [1 ]
Yamaura, H. [1 ]
机构
[1] Tokyo Inst Technol, Dept Mech Engn, 2-12-1 Ookayama,Meguro Ku, Tokyo 1528852, Japan
关键词
Multibody system; Motion simulation; Identification; Inertial properties; Minimal set of inertial parameters; RIGID-BODY; SEGMENT; ROBOT;
D O I
10.1007/s11044-024-10026-0
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The inertial properties of an object (mass, center of gravity, and inertia tensor) are fundamental parameters that considerably affect the accuracy of motion control and simulation results. Therefore, an accurate identification of inertial properties is crucial. All inertial properties of individual links modeled with multiple links cannot be identified via link motion, interjoint torque, or external force data because they are redundant to the multibody dynamics model. The minimum dynamic parameters necessary to represent the multibody dynamics model have been defined and identified. These dynamic parameters are obtained by combining the geometric parameters and inertial properties of the counterpart elements and are called the minimal set of inertial parameters (MSIP). Conventional identification methods use a set of measured link motions and ground reaction forces. MSIP for a sagittal plane can be identified from motions such as the walking motion of human bodies. However, applying these methods to three-dimensional identification is challenging. The primary difficulty lies in the large number of parameters involved, making it challenging to find motions that appropriately excite all MSIP in three dimensions to be identified. In this study, a new method for identifying the MSIP of a multibody system is developed by expanding and applying the identification method based on free vibration measurements, which is the identification method for the inertial properties of a single body. This method shows that MSIP for three dimensions can be identified theoretically and experimentally with high accuracy via considerably simple motion measurements.
引用
收藏
页码:435 / 452
页数:18
相关论文
共 50 条
  • [11] ADVANCES IN TRANSFER MATRIX METHOD OF MULTIBODY SYSTEM
    Rui, Xiaoting
    Wang, Guoping
    Yun, Laifeng
    He, Bin
    Yang, Fufeng
    Rong, Bao
    PROCEEDINGS OF ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, VOL 4, PTS A-C, 2010, : 861 - 869
  • [12] The solution for a multibody system by transfer matrix method
    Li, CM
    Rui, XT
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON VIBRATION ENGINEERING, 2002, : 224 - 229
  • [13] An innovative inertial parameters identification method for non-cooperative space targets based on electrostatic interaction
    Jing, Heng
    Zheng, Zixuan
    Che, Dejia
    Yuan, Jianping
    CHINESE JOURNAL OF AERONAUTICS, 2024, 37 (09) : 417 - 432
  • [14] Identification of robot's inertial parameters based on 6-axis wrist force sensor
    Gan, FJ
    Liu, ZS
    Wen, L
    Wang, Y
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2002, : 754 - 759
  • [15] Step response identification of inertial model for oscillating system
    Kurek, J.
    ADVANCED MECHATRONICS SOLUTIONS, 2016, 393 : 51 - 56
  • [16] Identification of all the inertial parameters of a non-cooperative object in orbit
    Meng, Qingliang
    Liang, Jianxun
    Ma, Ou
    AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 91 : 571 - 582
  • [17] Application of ANN in identification of inertial parameters of end-effector of robot
    Chen, Enwei
    Liu, Zhengshi
    Gan, Fangjian
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 972 - 977
  • [18] Identification of Fully Physical Consistent Inertial Parameters using Optimization on Manifolds
    Traversaro, Silvio
    Brossette, Stanislas
    Escande, Adrien
    Nori, Francesco
    2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, : 5446 - 5451
  • [19] Discrete time transfer matrix method for multibody system dynamics
    Rui, XT
    He, B
    Lu, YQ
    Lu, WG
    Wang, GP
    MULTIBODY SYSTEM DYNAMICS, 2005, 14 (3-4) : 317 - 344
  • [20] Recursive Formalism with a Minimal Dynamic Parameterization for the Identification and Simulation of Multibody Systems. Application to the Human Body
    X. Chenut
    P. Fisette
    J.-Cl. Samin
    Multibody System Dynamics, 2002, 8 : 117 - 140