Stability Analysis of Binary Wing Flutter Based on Cyclic Symmetry Algorithm in Internet of Things Environment

This paper studies the flutter stability analysis characteristics of the two-dimensional wing based on the cyclic symmetry algorithm. First, the cyclic symmetry algorithm is analyzed. The two-dimensional wing model and the wing model with two degrees of freedom of pitch and heave are designed. According to the two models, the aerodynamic model and the wing dynamic equation are constructed. Without considering the random disturbance of the equations, the zero-balance characteristic matrix is designed, and the Mach number of the incoming flow is selected as the bifurcation parameter to judge the stability of the binary wing. In the simulation experiment, the influence of “wing/air” mass ratio and “heave/pitch” natural vibration frequency ratio on flutter velocity boundary is mainly studied. From the research results, it can be seen that the analysis effect of this algorithm is good, and the adverse effect of hysteresis nonlinear factors can be reduced by increasing the natural vibration frequency ratio.