基于 H2 准则的多调谐质量阻尼器参数优化,以抑制共振

IF 2.3 3区 工程技术 Q2 ACOUSTICS Journal of Vibration and Control Pub Date : 2024-09-10 DOI:10.1177/10775463241276946
Jianqiang Yao, Qin Li, Wentao Li, Chenyang Ding
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引用次数: 0

摘要

超精密运动平台的柔性动态行为会显著降低控制性能。针对这一问题,本文提出了一种[计算公式:见正文]基于规范的多调谐质量阻尼器(TMD)参数优化方法,用于线性柔性结构的共振抑制,假设多个 TMD 的所有参数都是独立的,并将 TMD 的位置视为变量。通过分步建模,带有多个 TMD 的线性柔性结构被模拟为一个闭环控制系统。采用遗传算法,以 [公式:见正文] 准则作为优化标准。在自由薄板上对优化的有效性进行了数值验证。研究了 TMD 参数、线性柔性结构参数和 TMD 失效的不确定性对振动抑制效果的影响。所提出的建模和优化方法有望应用于提供模态频率和模态振型矩阵的各种柔性结构。
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H2 norm based parameter optimization of multiple tuned mass dampers for resonance suppression
Flexible dynamic behavior of ultra-precision motion stage significantly deteriorates control performance. To tackle this problem, this paper presents an [Formula: see text] norm based parameter optimization of multiple Tuned Mass Dampers (TMDs) for resonance suppression applied on linear flexible structures, assuming all parameters of multiple TMDs are independent, and considering locations of TMDs as variables. Linear flexible structures with multiple TMDs are modeled as a closed-loop control system through modeling in steps. Genetic algorithm is implemented employing [Formula: see text] norm as the optimization criterion. The effectiveness of the optimization is numerically verified on a free-free thin plate. The effects of uncertainties in TMDs parameters, linear flexible structure parameters, and TMDs failure on the vibration suppression effect are studied. The proposed modeling and optimization methods are promising for application to various flexible structures with provided modal frequencies and mode shape matrix.
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来源期刊
Journal of Vibration and Control
Journal of Vibration and Control 工程技术-工程:机械
CiteScore
5.20
自引率
17.90%
发文量
336
审稿时长
6 months
期刊介绍: The Journal of Vibration and Control is a peer-reviewed journal of analytical, computational and experimental studies of vibration phenomena and their control. The scope encompasses all linear and nonlinear vibration phenomena and covers topics such as: vibration and control of structures and machinery, signal analysis, aeroelasticity, neural networks, structural control and acoustics, noise and noise control, waves in solids and fluids and shock waves.
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