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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v10i1.13894</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Design of Integrated Brushless Motor Drive and Control System for Robotic Arm Joints</title><url>https://artdesignp.com/journal/JERA/10/1/10.26689/jera.v10i1.13894</url><author>LiuWei,LiTingyu</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>1</issue><history><date date-type="pub"><published-time>2026-02-12</published-time></date></history><abstract>To meet the requirements of high performance, low cost, and modularity in robotic arm joints, this study designs an integrated brushless motor drive and control system. The system selects the STM32G473 microcontroller as the control chip and adopts field-oriented control as the primary motor control algorithm. Meanwhile, the drive and control system design is completed from both hardware and software aspects. Finally, the study performs closed-loop experiments on the robotic arm joint. The experimental results demonstrate that the designed drive and control system for robotic arm joints exhibits a favorable dynamic response and steady-state performance, making it suitable for controlling desktop-level and lightweight robotic arms.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Ye S, Sun L, 2021, Design and Implementation of Intelligent Control Program for Six Axis Joint Robot. Big Data Analytics for Cyber-Physical System in Smart City, 180–186.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Sathuluri A, Sureshbabu A, Frank J, et al., 2023, Computational Systems Design of Low-Cost Lightweight Robots. Robotics, 12(4): 91.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Tingting W, 2023, Research on Optimized Control Method for Robotic Arm Joint Motors, thesis, Changchun University of Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Le Q, 2024, Neural Network FOC Control of Robotic Arms Driven by Brushless Motors, thesis, Xi’an Shiyou University.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Li N, Li M, Zhang C, et al., 2024, Design of Brushless Motor Control System Based on FOC Algorithm. International Conference on Mechatronic Engineering and Artificial Intelligence, 130712T.1–130712T.7.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>O’Rourke C, Qasim M, Overlin M, et al., 2019, A Geometric Interpretation of Reference Frames and Transformations: dq0, Clarke, and Park. IEEE Transactions on Energy Conversion, 34(4): 2070–2083.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Ma R, Guo X, Zhang Y, et al., 2023, PMSG Offshore Wind Power System Control Using SMC and ADRC with Fast SVPWM in Complicated Environment. Electrical Engineering, 105(5): 2751–2767.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
