DOI number:10.1109/IECON58223.2025.11221386

Affiliation of Author(s):仪器科学与光电工程学院

Teaching and Research Group:大科学装置研究院

Journal:IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society

Key Words: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

Abstract: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

Co-author:Haifeng Zhang, Fengwen Zhao

First Author:Zhongxiang Jing

Indexed by:会议论文

Discipline:工学

First-Level Discipline:Instrumentation Science and Technology

Document Type:会议

Page Number:1-6

Translation or Not:no

Date of Publication:2025-10-01