Integrated Drive Board Detection System Based on STM32

To address the low detection efficiency, difficulty in setting up the detection environment, and complexity of the detection process for LAMOST fiber positioning robot drive boards, an integrated drive board detection system based on STM32 has been designed. The system uses a RL circuit to simulate the working environment of the drive board, collects the drive signals using a current sampling module, and employs a programmable touch screen for human-machine interaction. The RL circuit simulates the three-phase windings of a brushless DC motor, the current sampling module samples current on the RL circuit, and the touch screen is used to start the detection system and display the results. Finally, the system program was developed using the Keil development software. Experimental results show that the detection system has a compact structure, is easy to move, and can complete the functional detection of two drive boards within 30 seconds, significantly improving the detection efficiency of LAMOST fiber positioning robot drive boards.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icctit64404.2024.10928392
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated Drive Board Detection System Based on STM32

Chao Zhai, H. Zou, Guifeng Chen, Yang Tian
Advanced Algorithms and Applications
article

Integrated Drive Board Detection System Based on STM32

Chao Zhai, H. Zou, Guifeng Chen, Yang Tian
article en

Abstract

To address the low detection efficiency, difficulty in setting up the detection environment, and complexity of the detection process for LAMOST fiber positioning robot drive boards, an integrated drive board detection system based on STM32 has been designed. The system uses a RL circuit to simulate the working environment of the drive board, collects the drive signals using a current sampling module, and employs a programmable touch screen for human-machine interaction. The RL circuit simulates the three-phase windings of a brushless DC motor, the current sampling module samples current on the RL circuit, and the touch screen is used to start the detection system and display the results. Finally, the system program was developed using the Keil development software. Experimental results show that the detection system has a compact structure, is easy to move, and can complete the functional detection of two drive boards within 30 seconds, significantly improving the detection efficiency of LAMOST fiber positioning robot drive boards.

University of Science and Technology of China (CN), Zhejiang Normal University (CN)
Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 64%
Advanced Algorithms and Applications
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Integrated Drive Board Detection System Based on STM32 — Chao Zhai, H. Zou, et al. · (2024) | TGRS Research Map | TGRS