Stability Analysis of Nonlinear Rotating Systems Using Lyapunov Characteristic Exponents Estimated From Multibody Dynamics

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
G. Cassoni, A. Zanoni, A. Tamer, P. Masarati
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引用次数: 0

Abstract

The use of Lyapunov Characteristic Exponents to assess the stability of nonlinear, time-dependent mechanical systems is discussed. Specific attention is dedicated to methods capable of estimating the largest exponent without requiring the Jacobian matrix of the problem, which can be applied to time histories resulting from simulations performed with existing multibody solvers. Helicopter ground resonance is analyzed as the reference application. Improvements over the available literature are: the problem is formulated in physical coordinates, without eliminating periodicity through multiblade coordinates; the rotation of the blades is not linearized; the problem is modeled considering absolute positions and orientations of parts. The dynamic instability that arises at some angular velocities when the isotropy of the rotor is broken (e.g., caused by the failure of one lead-lag damper, a design test condition) is observed to evolve into a large amplitude limit cycle, where the usual Floquet-Lyapunov analysis of the linearized time-periodic simply predicts instability.
基于多体动力学估计的Lyapunov特征指数的非线性旋转系统稳定性分析
讨论了利用李雅普诺夫特征指数来评价非线性、时变机械系统的稳定性。特别关注能够在不需要问题的雅可比矩阵的情况下估计最大指数的方法,这种方法可以应用于由现有多体解算器模拟产生的时间历史。分析了直升机地面共振的参考应用。对现有文献的改进是:问题是在物理坐标中表述的,没有通过多叶片坐标消除周期性;叶片的旋转不是线性化的;该问题的建模考虑了零件的绝对位置和绝对方向。当转子的各向同性被破坏时,在某些角速度下产生的动态不稳定性(例如,由一个超前-滞后阻尼器的失效引起,设计测试条件)被观察到演变成一个大振幅极限环,其中通常的线性化时间周期的Floquet-Lyapunov分析只是预测不稳定性。
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.
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