计算机科学
姿势
人工智能
方向(向量空间)
领域(数学)
磁场
计算机视觉
物理
作者
Phil Meier,Kris Rohrmann,Marvin Sandner,Marcus Prochaska
出处
期刊:International Midwest Symposium on Circuits and Systems
日期:2019-08-01
卷期号:: 1005-1008
标识
DOI:10.1109/mwscas.2019.8885265
摘要
Linear and angular position sensing using magnetic field sensors play a decisive role in automotive, industrial and consumer applications. Recently powerful 3D Hall sensors have become available, which enable simple measurement setups for 3D position sensing. In this paper a numerical concept for the determination of linear and angular position in the three-dimensional space is presented, which bases on an analytic model of an encoder magnet. To prevent numerical instabilities, a modified Newton-Raphson algorithm with adaptive dynamic step size control is used. Simulation results validate the applicability of our approach.
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