Vibration Suppression Enhancement With Adjustable Gain in Absence of Resonance Knowledge for a Lightly Damped System

被引:0
|
作者
Li, Jiedong [1 ]
Wang, Yongshuai [1 ]
Sun, Mingwei [1 ]
Chen, Zengqiang [1 ]
机构
[1] Nankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2025年 / 55卷 / 02期
基金
中国国家自然科学基金;
关键词
Vibrations; Resonance; Tuning; Bandwidth; Resonant frequency; Mathematical models; Guidelines; Sensitivity; Vectors; Uncertainty; Active disturbance rejection control (ADRC); adjustable gain; resonance knowledge; two-mass-spring (TMS) system; vibration suppression;
D O I
10.1109/TSMC.2024.3492053
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For lightly damped systems, detrimental vibration, and even instability, occur when their flexible dynamical behaviors approach the required closed-loop bandwidth. This article develops a vibration suppression approach with adjustable gain (VSAG) in the absence of resonance knowledge to enhance vibration suppression performance in terms of various sensitivity functions. The transfer function and state space-based VSAG implementations are deduced in detail. Then, the tuning guideline on adjustable gain is analyzed via the realizable control loop with transfer function-based VSAG. The closed-loop stability and convergence are investigated via the Lyapunov criterion. The validity and superiority of the proposed method are demonstrated through simulations and experiments on a two-mass-spring (TMS) prototype system.
引用
收藏
页码:1031 / 1042
页数:12
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