Paper
4 March 2024 Research on non-contact attitude measurement of spherical joints based on magnetic sensing
Zehao Huang, Liangcai Li, Peng Wang, Zhenguo Song, Yong Shao
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298159 (2024) https://doi.org/10.1117/12.3014980
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
In this paper, a non-contact multi-degree-of-freedom (multi-DOF) attitude measurement method for spherical joints based on magnetic sensing is proposed, which realizes attitude detection of spherical joints without introducing new contact force and shows advantages of easy installation, low cost, and strong practicability. The sensor system utilizes theoretical derivation, data fitting, and machine learning methods to establish a function mapping model between magnetic field variation and Euler angles of spherical joints. In the research, firstly, the optimal placement scheme of sensors is solved by numerical simulation. Then, data fitting and improved GA-BP neural networks are adopted to get the inverse solution model of spherical joints. Finally, simulation results show that the proposed measurement method is feasible and can be applied to large-scale production.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zehao Huang, Liangcai Li, Peng Wang, Zhenguo Song, and Yong Shao "Research on non-contact attitude measurement of spherical joints based on magnetic sensing", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298159 (4 March 2024); https://doi.org/10.1117/12.3014980
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