基于惯性和磁传感器的关节角检测新方法

Yuqiu Huang, Minghao Gou, Peihan Zhang, Xi Wang, Haoyu Xie, X. Sheng
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引用次数: 1

摘要

各种机器人和生物医学设备的发展对精确、廉价和快速响应的关节角度传感器提出了要求。为了解决这一问题,本文提出了一种基于惯性和磁传感器的关节角传感系统及其计算方法。这种方法利用空间中的均匀引力场和均匀磁场。采用低通滤波器降低高频噪声的干扰。采用椭球体标定模型对数据进行标定。然后,系统综合两个滤波和校准的数据来计算关节臂之间的角度。与现有的方法相比,该方法在保持较好的精度的同时,大大降低了系统的成本和复杂度。文中给出了该方法的一个实现实例。静态和动态测量实验结果验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Method for Detecting Joint Angles Based on Inertial and Magnetic Sensors
The development of various robotic and biomedical devices has raised demands for accurate, cheap and quickresponsive joint angle sensors. To address the problem, a novel system together with a computation method for joint angle sensing based on inertial and magnetic sensors has been proposed in this paper. This method utilizes a uniform gravitational field and a uniform magnetic field in space. Low-pass filter is applied to reduce the interference of high-frequency noise. The data are also calibrated using ellipsoidal calibration model. Then the system synthesizes the two filtered and calibrated data to calculate the angle between the arms of a joint. Compared to other existing methods, this method keeps a good accuracy while greatly reduces the cost and complexity of the system. One example of the implementation of this method is given in this paper. And the results of both static and dynamic measurement experiments validate the feasibility of the method.
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