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

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 Author(s) Copeland, G.S. United Technol. Res. Center, East Hartford, CT, USA Kevrekidis, Ioannis G. ; Rico-Martinez, R.

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