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

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.