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

IF 2.6 2区 工程技术 Q2 MECHANICS
T. Homma, H. Yamaura
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引用次数: 0

Abstract

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.

Abstract Image

多体系统最小惯性参数集识别方法的开发
物体的惯性特性(质量、重心和惯性张量)是基本参数,对运动控制和模拟结果的精度有很大影响。因此,准确识别惯性特性至关重要。使用多连杆建模的单个连杆的所有惯性属性都无法通过连杆运动、关节间扭矩或外力数据来识别,因为它们对于多体动力学模型来说是多余的。表示多体动力学模型所需的最小动态参数已经定义并确定。这些动态参数由对应元素的几何参数和惯性特性组合而成,称为最小惯性参数集 (MSIP)。传统的识别方法使用一组测得的链接运动和地面反作用力。矢状面的 MSIP 可以从人体行走运动等运动中识别出来。然而,将这些方法应用于三维识别具有挑战性。主要困难在于所涉及的参数较多,因此要在三维空间中找到能适当激发所有 MSIP 的运动来进行识别具有挑战性。在本研究中,通过扩展和应用基于自由振动测量的识别方法,即单体惯性特性的识别方法,开发了一种识别多体系统 MSIP 的新方法。该方法表明,通过相当简单的运动测量,可以从理论和实验上高精度地识别三维空间的 MSIP。
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来源期刊
CiteScore
6.00
自引率
17.60%
发文量
46
审稿时长
12 months
期刊介绍: The journal Multibody System Dynamics treats theoretical and computational methods in rigid and flexible multibody systems, their application, and the experimental procedures used to validate the theoretical foundations. The research reported addresses computational and experimental aspects and their application to classical and emerging fields in science and technology. Both development and application aspects of multibody dynamics are relevant, in particular in the fields of control, optimization, real-time simulation, parallel computation, workspace and path planning, reliability, and durability. The journal also publishes articles covering application fields such as vehicle dynamics, aerospace technology, robotics and mechatronics, machine dynamics, crashworthiness, biomechanics, artificial intelligence, and system identification if they involve or contribute to the field of Multibody System Dynamics.
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