Design and Implementation of an Intelligent Motion Control and Automatic Detection System for Magnetic Grid Manufacturing
DOI:
https://doi.org/10.71204/5z5xmw25Keywords:
Magnetic Grid Manufacturing, Automatic Detection, Motion Control, Intelligent Quality Control, Software–Hardware Integration, Industrial AutomationAbstract
Magnetic grid sensors are widely used in industrial robots, CNC machine tools, and intelligent manufacturing systems due to their high precision and strong environmental adaptability. However, conventional magnetic grid production still suffers from low assembly consistency, inefficient manual inspection, weak process traceability, and insufficient integration between motion control and quality management systems. To address these challenges, this paper proposes an intelligent automatic detection and motion control system for magnetic grid manufacturing. The proposed system integrates high-precision motion control algorithms, multi-axis coordinated control, automatic signal acquisition, human–machine interaction (HMI), and software–hardware collaborative integration into a unified production platform. A modular system architecture consisting of equipment execution, control management, and data application layers is designed to realize automated assembly positioning, precision calibration, real-time signal analysis, and digital quality control. To improve positioning stability and trajectory tracking accuracy, feedforward compensation and friction compensation strategies are introduced into the motion control framework. In addition, a real-time data acquisition and traceability mechanism is established to support process monitoring, defect analysis, and production optimization. Experimental verification and mass-production deployment demonstrate that the proposed system significantly improves assembly consistency and inspection efficiency. The positioning repeatability reaches ±0.01 mm, the single-station inspection time is reduced by more than 50%, and the product defect rate decreases from 12% to below 3%. The developed system provides an effective technical solution for intelligent upgrading of precision sensor manufacturing and offers practical references for industrial automation, intelligent quality control, and digital manufacturing applications.
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Copyright (c) 2025 Shishui Zhou, Chaohui Zhang, Lujie Ren, Jianming Mao, Haijun Lei, Dengcheng Lu (Author)

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