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A portable system for in-situ re-calibration of force platforms: Theoretical validation.

机译:用于力平台的现场重新校准的便携式系统:理论验证。

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摘要

The periodic calibration of measurement devices, such as force platforms (FPs), guarantees and optimizes the quality of the acquired data. In this study, the theoretical validation of a portable system for the in-situ calibration of six-component FPs is presented. A least-squares algorithm, that estimates the FP re-calibration matrix, was designed and tested using a simulation approach. The algorithm is the core of a portable system, described in a separate paper, and represents a refinement of an algorithm previously presented by Cappello et al. [Cappello A, Lenzi D, Chiari L. Periodical in-situ re-calibration of force platforms: a new method for the robust estimation of the calibration matrix. Med Biol Eng Comput 2004;42:350-5]. The new algorithm assumes that the calibration inputs are known, 3-D, time-varying loads, applied to the FP at known coordinates, and not constrained in their direction of application. Simulation results confirmed the a priori identifiability of the re-calibration matrix and some of the algorithm features were optimized in the perspective of an actual building of the system. With the aid of simple sinusoidal loads, applied in at least five different points, we proved that the algorithm can ensure errors less than 0.2N and 0.4Nm when calculating force and moment components of an applied load.
机译:诸如测力平台(FPs)之类的测量设备的定期校准可确保并优化所获取数据的质量。在这项研究中,提出了一种用于六组分FP现场校准的便携式系统的理论验证。使用模拟方法设计和测试了估计FP重新校准矩阵的最小二乘算法。该算法是便携式系统的核心,在另一篇论文中进行了描述,它代表了Cappello等人先前提出的算法的改进。 [Cappello A,Lenzi D,Chiari L.定期对力平台进行重新校准:一种用于稳健估算校准矩阵的新方法。 Med Biol Eng Comput 2004; 42:350-5]。新算法假定校准输入是已知的3-D时变负载,以已知坐标应用于FP,并且不受其应用方向的限制。仿真结果证实了重新校准矩阵的先验可识别性,并且从系统的实际构建角度优化了一些算法功能。借助于在至少五个不同点上施加的简单正弦载荷,我们证明了该算法可以在计算施加载荷的力和力矩分量时确保误差小于0.2N和0.4Nm。

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