Autonomous vibration control of beams utilizing intelligent excitation adaptability

IF 7.1 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Shuai Chen , Yilong Wang , Qianjing Wu , Xiaoyun Zhang , Dengqing Cao , Biao Wang
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Abstract

Undesirable mechanical vibrations in beam structures deteriorate the structural integrity, operational reliability, and service lifespan of systems across various engineering and industrial applications. However, most existing vibration methods for beam structures struggle in dynamic and complex environments due to their continuum nature and nonlinear behavior. To achieve autonomous vibration control across the full spectrum, this article proposes an intelligent excitation adaptability (IEA) concept for real-time vibration control of beam structures under frequency-varying excitations. The IEA system is composed of a stiffness-variable electromagnetic appliance, a real-time excitation frequency recognition algorithm, and an autonomous stiffness-switching program. The electromagnetic appliance, arranged in a nesting-type configuration, consists of six-ring permanent magnets (PMs) and six coil windings (CWs). By tuning the magnitude and direction of the current in CWs, a high (HDS) or low (LSD) dynamic stiffness state can be assigned to the IEA system. We develop a recognition algorithm to rapidly and accurately identify the excitation frequency solely based on displacement response signals derived from a nonlinear dynamic model of the beam. Simultaneously, the autonomous stiffness regulation automatically selects either HDS or LSD mode for optimal vibration suppression. The theoretical and experimental results demonstrate that the frequency recognition and stiffness switching processes of the IEA vibration control (IEA-VC) system are fast (min. to 17 ms), accurate, and reliable. Furthermore, the IEA-VC system significantly mitigates resonance (e.g., from 11.48 dB to -1.35 dB) and achieves full-spectrum vibration suppression compared to traditional vibration control approaches.

Abstract Image

在各种工程和工业应用中,梁结构中不理想的机械振动会恶化系统的结构完整性、运行可靠性和使用寿命。然而,由于梁结构的连续性和非线性行为,大多数现有的梁结构振动方法在动态和复杂环境中都难以奏效。为了实现全方位的自主振动控制,本文提出了一种智能激励适应性(IEA)概念,用于频率变化激励下梁结构的实时振动控制。IEA 系统由刚度可变电磁装置、实时激振频率识别算法和自主刚度切换程序组成。电磁装置采用巢式结构,由六个环形永久磁铁(PM)和六个线圈绕组(CW)组成。通过调整 CW 中电流的大小和方向,可为 IEA 系统分配高(HDS)或低(LSD)动态刚度状态。我们开发了一种识别算法,仅根据从梁的非线性动态模型中得出的位移响应信号,就能快速准确地识别激励频率。同时,自主刚度调节会自动选择 HDS 或 LSD 模式,以获得最佳振动抑制效果。理论和实验结果表明,IEA 振动控制系统(IEA-VC)的频率识别和刚度切换过程快速(最短 17 毫秒)、准确、可靠。此外,与传统的振动控制方法相比,IEA-VC 系统能显著缓解共振(例如,从 11.48 dB 降至 -1.35 dB),并实现全频谱振动抑制。
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来源期刊
International Journal of Mechanical Sciences
International Journal of Mechanical Sciences 工程技术-工程:机械
CiteScore
12.80
自引率
17.80%
发文量
769
审稿时长
19 days
期刊介绍: The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering. The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture). Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content. In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.
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