Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Novel Combined Method for Measuring the Three-Dimensional Rotational Angle of Spherical Joint

Version 1 : Received: 1 November 2023 / Approved: 1 November 2023 / Online: 2 November 2023 (07:45:52 CET)

A peer-reviewed article of this Preprint also exists.

Yang, Q.; Ouyang, K.; Yang, L.; Fu, R.; Hu, P. A Novel Combined Method for Measuring the Three-Dimensional Rotational Angle of a Spherical Joint. Sensors 2024, 24, 90. Yang, Q.; Ouyang, K.; Yang, L.; Fu, R.; Hu, P. A Novel Combined Method for Measuring the Three-Dimensional Rotational Angle of a Spherical Joint. Sensors 2024, 24, 90.

Abstract

To improve the measurement accuracy of three-dimensional rotation angle of the spherical joint, a novel approach is proposed in this study, which combines the magnetic detection by Hall sensor and surface feature identification by eddy current sensor. Firstly, a permanent magnet is embedded in the ball head of spherical joint, and Hall sensors are set and distributed in the ball socket to measure the variation of magnetic flux density when spherical joint rotating, which are related to 3D rotation angle. In order to further improve measurement accuracy and robustness, we also set grooves on the ball head and use eddy current sensors to synchronously identify the rotation angle of the ball head. After the combination of two signals is adopted, a measurement model is established using the RBF neural network by training, and realized real-time measurement of the 3D rotation angle of spherical joint. The feasibility and superiority of this method are validated through experiments. The experimental results indicated that the measurement accuracy is promoted substantially compared to the preliminary measurement scheme based on spherical coding, the average measurement error of single axis is reduced by 9'9". The root mean square errors for the measurement of 3D rotation angles in this proposed method are as follows: the pitch angle α has an error of 1'8", the yaw angle β has an error of 2'15", and the roll angle γ has an error of 29'6".

Keywords

Spherical joint; 3D rotation angle; RBF neural network

Subject

Engineering, Other

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