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DOI码：10.1109/IECON58223.2025.11221386
所属单位：仪器科学与光电工程学院
教研室：大科学装置研究院
发表刊物：IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society
关键字：Adaptive systems; Magnetic field measurement; Magnetic fields; Robust control; Tuning; Signal to noise ratio; Active Magnetic Field Compensation; Frequency measurement; LADRC; Magnetocardiography; Reinforcement learning; Reinforcement Learning; Simulation; Time-varying systems
摘要：To suppress external magnetic field disturbances during Magnetocardiography (MCG) signal acquisition, this paper presents an active magnetic field compensation (AMC) method based on reinforcement learning based linear active disturbance rejection control (RL2ADRC). The proposed approach begins with precise parametric modeling of the AMC system, followed by the design of a linear active disturbance rejection control (LADRC) controller based on the identified system parameters. To improve the controller’s disturbance rejection performance against magnetic disturbances with varying frequency char
合写作者：Haifeng Zhang, Fengwen Zhao
第一作者：Zhongxiang Jing
论文类型：会议论文
学科门类：工学
一级学科：仪器科学与技术
文献类型：会议
页面范围：1-6
是否译文：否
发表时间：2025-10-01