Adaptive detection of instabilities and nonlinear analysis of a reduced-order model for flutter and rotating stall in turbomachinery

G. S. Copeland, I. Kevrekidis, R. Rico-Martínez
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引用次数: 2

Abstract

In this study system parameters are adaptively varied to identify bifurcations from equilibrium in simulations of a reduced-order model for turbomachinery aeromechanics. An element of the adaptive process is identification of a low-order locally nonlinear discrete-time map from the observers. The nonlinear behavior of the system in the neighborhood of the bifurcation is then estimated from the identified system.
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涡轮机械颤振和旋转失速降阶模型的不稳定性自适应检测与非线性分析
在涡轮机械空气力学降阶模型的仿真中,采用系统参数自适应变化的方法来识别平衡分岔。自适应过程的一个要素是识别来自观测器的低阶局部非线性离散时间映射。然后根据辨识出的系统估计出系统在分岔邻域的非线性行为。
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