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Hopf bifurcations, Lyapunov exponents and control of chaos for a class of centrifugal flywheel governor system

机译:一类离心飞轮调速器系统的Hopf分支,Lyapunov指数和混沌控制

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In this paper, complex dynamical behavior of a class of centrifugal flywheel governor system is studied. These systems have a rich variety of nonlinear behavior, which are investigated here by numerically integrating the Lagrangian equations of motion. A tiny change in parameters can lead to an enormous difference in the long-term behavior of the system. Bubbles of periodic orbits may also occur within the bifurcation sequence. Hyperchaotic behavior is also observed in cases where two of the Lyapunov exponents are positive, one is zero, and one is negative. The routes to chaos are analyzed using Poincaré maps, which are found to be more complicated than those of nonlinear rotational machines. Periodic and chaotic motions can be clearly distinguished by all of the analytical tools applied here, namely Poincaré sections, bifurcation diagrams, Lyapunov exponents, and Lyapunov dimensions. This paper proposes a para_metric open-plus-closed-loop approach to controlling chaos, which is capable of switching from chaotic motion to any desired periodic orbit. The theoretical work and numerical simulations of this paper can be extended to other systems. Finally, the results of this paper are of practical utility to designers of rotational machines.
机译:本文研究了一类离心飞轮调速器系统的复杂动力学行为。这些系统具有各种各样的非线性行为,这里通过数值积分拉格朗日运动方程进行了研究。参数的微小变化会导致系统的长期行为产生巨大差异。分叉序列内也可能出现周期性轨道的气泡。在两个Lyapunov指数为正,一个为零且一个为负的情况下,也观察到超混沌行为。使用庞加莱图分析了通往混沌的路线,发现该路线比非线性旋转机械要复杂得多。周期性运动和混沌运动可以通过此处使用的所有分析工具(即庞加莱截面,分叉图,李雅普诺夫指数和李雅普诺夫尺寸)清楚地区分。本文提出了一种控制混沌的参数化开环闭环方法,该方法能够从混沌运动切换到任何期望的周期性轨道。本文的理论工作和数值模拟可以扩展到其他系统。最后,本文的结果对旋转机械的设计者具有实用价值。

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