Cubic spline interpolation method of aerodynamic parameters based on AIWCPSO algorithm

Since the aerodynamic parameters for flight simulation modeling process are given in the form of a matrix, most of which are in the nonlinear relationship, a cubic spline interpolation method of aerodynamic parameters based on the adaptive inertia weight chaotic particle swarm optimization(AIWCPSO) algorithm is proposed. Firstly, the mapping relationship between the particle and the coefficients of the cubic spline interpolation function is established. Then the optimal value of the coefficient of the cubic spline interpolation function is searched by using AIWCPSO algorithm, which is taken as the coefficient of the cubic spline interpolation function. Finally, the aerodynamic parameters of discrete points are obtained by calculating functions. The simulation results show that the proposed method can be effectively used in flight dynamics modeling of the aerodynamic parameters.