基于AIWCPSO算法的三次样条气动参数插值方法

针对飞行仿真建模过程中气动参数以矩阵的形式给出, 大都存在着非线性关系, 提出一种基于自适应惯性权重的混沌粒子群优化(AIWCPSO) 算法的三次样条气动参数插值方法. 首先建立粒子与三次样条插值函数中系数的映射关系; 然后利用AIWCPSO 算法对三次样条插值函数的系数进行寻优, 将获得的最优解近似看作三次样条插值函数的系数; 最后计算得到离散点的气动参数. 仿真实验结果表明, 所提出的方法能有效地解决飞行气动参数插值问题.

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.