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Improving Techniques in Statically Equivalent Serial Chain Modeling for Center of Mass Estimation

机译:用于质心估计的静态等效串行链建模中的改进技术

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摘要

Any articulated system of rigid bodies defines a statically equivalent serial chain (SESC). The SESC is a virtual chain that terminates at the center of mass (CoM) of the original system of bodies. An SESC may be generated experimentally without knowing the mass, CoM, or length of each link in the system given that its joint angles and overall CoM may be measured. This paper presents three developments toward recognizing the SESC as a practical modeling technique. Two of the three developments improve utilizing the technique in practical applications where the arrangement of the joints impacts the derivation of the SESC. The final development provides insight into the number of poses needed to create a usable SESC in the presence of data collection errors. First, modifications to a matrix necessary in computing the SESC are proposed, followed by the experimental validation of SESC modeling. Second, the problem of generating an SESC experimentally when the system of bodies includes a mass fixed in the ground frame are presented and a remedy is proposed for humanoid-like systems. Third, an investigation of the error of the experimental SESC versus the number of data readings collected in the presence of errors in joint readings and CoM data is conducted. By conducting the method on three different systems with various levels of data error, a general form of the function for estimating the error of the experimental SESC is proposed.
机译:任何铰接的刚体系统都定义了一个静态等效串联链(SESC)。 SESC是一条虚拟链,终止于原始车身系统的质心(CoM)。如果可以测量SESC的关节角度和整体CoM,则可以通过实验生成SESC,而无需知道系统中每个链接的质量,CoM或长度。本文介绍了将SESC识别为一种实用建模技术的三个进展。这三项开发中的两项改进了该技术在实际应用中的应用,在这种应用中,接头的布置影响了SESC的派生。最终的开发结果可以洞悉在存在数据收集错误的情况下创建可用的SESC所需的姿势数量。首先,提出了对计算SESC所必需的矩阵的修改,然后对SESC建模进行了实验验证。其次,提出了当人体系统包括固定在地面框架中的物体时,通过实验产生SESC的问题,并提出了针对类人动物系统的解决方案。第三,对实验性SESC的误差与在联合读数和CoM数据中存在误差的情况下收集的数据读数的数量进行了调查。通过在具有不同级别数据误差的三个不同系统上执行该方法,提出了一种用于估计实验SESC误差的函数的一般形式。

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