动态尖端载荷下压电梁稳定性的新结果:部分阻尼和低阶和高阶效应的相互作用

IF 1.7 2区 数学 Q2 MATHEMATICS, APPLIED
Mohammad Akil, Ibtissam Issa, Ahmet Özkan Özer, Cristina Pignotti
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引用次数: 0

摘要

本研究扩展了先前关于具有动态尖端质量的压电梁系统的稳定性的工作(Özer,第63届IEEE决策与控制会议,pp 8498-8503, 2024),强调了配置部分阻尼设计。与先前基于非并置控制器和Lyapunov方法的方法不同,本工作研究了减阻尼配置下并置控制器的性能。在与应变速率相关的高阶阻尼和与尖端速度和电极处累积电流相关的低阶阻尼之间进行了区分。结果表明,与叶尖速度反馈相比,高阶阻尼具有更强的稳定性。指数衰减率和多项式衰减率的条件与阻尼结构和材料特性有关。引入了一个严格的分析框架来表征这些衰变行为,而不依赖于李雅普诺夫技术或光谱分析。数值模拟支持理论发现,突出了高阶反馈机制在实现指数稳定性中的重要作用。研究结果为能量收集、声波控制和高精度传感的应用提供了实际的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Stability Results for Piezoelectric Beams with a Dynamic Tip Load: Partial Damping and the Interplay of Lower- and Higher-Order Effects

This study extends previous work (Özer in 63rd IEEE conference on decision and control, pp 8498–8503, 2024) on the stabilization of piezoelectric beam systems with a dynamic tip mass, emphasizing collocated partial damping designs. Unlike earlier approaches based on noncollocated controllers and Lyapunov methods, this work investigates the performance of collocated controllers under reduced damping configurations. A distinction is made between higher order damping, associated with the strain rate, and lower order damping, associated with the tip velocity and the accumulated electrical current at the electrodes. It is shown that higher order damping provides stronger stabilization compared to tip velocity feedback. Conditions for exponential and polynomial decay rates are identified in relation to the damping configuration and material properties. A rigorous analytical framework is introduced to characterize these decay behaviors without relying on Lyapunov techniques or spectral analysis. Numerical simulations support the theoretical findings, highlighting the essential role of the higher-order feedback mechanism in achieving exponential stability. The results offer practical insights for applications in energy harvesting, acoustic wave control, and high-precision sensing.

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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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