电子科技2025，Vol.38Issue(9)：58-70,13.DOI:10.16180/j.cnki.issn1007-7820.2025.09.008
基于自适应陷波滤波器的永磁伺服系统共振抑制
Resonance Suppression of Permanent Magnet Servo System Based on Parameter Identification and Self-Tuning Notch Filter
摘要
Abstract
In view of the problems of setting multiple traps or manually setting notch parameters,an adaptive notch filter based on permanent magnet servo system online resonance suppression method is proposed in this study.This study analyzes the double inertia elastic load system,deduces and gives the relationship between the key param-eters of the motor inertia and the mechanical resonance frequency.A tunable notch width and depth filter based on bilinear transformation is designed,the resonant frequency of the system is identified by a normalized estimation algo-rithm,and the width and depth coefficients of the notch filter are self-tuned.The results show that the resonant fre-quency identification accuracy is 1.87％when the proposed method is used to test the resonance suppression perform-ance.The steady state error of motor speed is reduced from 6.0％to 2.8％before and after the introduction of adap-tive resonance suppression notch.When there are two resonance points,the parameters of the trap are updated in time within 1.28 s,and the identification accuracy of the second resonance frequency is 2.10％.The steady-state error of motor speed is reduced from 1.6％to 0.7％before and after the introduction of adaptive resonance suppres-sion notch,which proves the effectiveness and superiority of the proposed algorithm.关键词
永磁同步电机/伺服控制系统/双惯量弹性负载系统/双线性变换法/频率辨识/陷波滤波器/归一化估计算法/陷波参数自整定Key words
permanent magnet synchronous motor/servo control system/double inertia elastic load system/bilinear transformation method/frequency identification/notch filter/normalized estimation algorithm/notch parameter self-tuning分类
信息技术与安全科学引用本文复制引用
戴昊,鲁文其,鲁玉军,方狄永,董小艳..基于自适应陷波滤波器的永磁伺服系统共振抑制[J].电子科技,2025,38(9):58-70,13.基金项目
国家自然科学基金(52277068) （52277068）
浙江省科技厅重点研发计划(2024C01230,2023C01159、2022C01242)National Natural Science Foundation of China(52277068) （2024C01230,2023C01159、2022C01242）
Key Research and Development Program of Zhejiang Science and Technology De-partment(2024C01230,2023C01159,2022C01242) （2024C01230,2023C01159,2022C01242）
