Research on WNN aerodynamic modeling from flight data based on improved PSO algorithm
Affiliation of Author(s):
信息与控制工程学院
Key Words:
中文关键字：粒子群算法,气动力建模，英文关键字：PSO algorithm;aerodynamic modeling
Abstract:
To depict the aerodynamic characteristics of flight vehicle accurately, a Wavelet Neural Network (WNN) method, based on improved Particle Swarm Optimization (IPSO) algorithm, is proposed for aerodynamic modeling from flight data. First the multi-particle information share strategy and mutation operation are introduced into Simple PSO algorithm in order to improve the modeling capability of WNN, and then according to modeling flow the aerodynamic model from flight data for flight vehicles is established by WNN based on IPSO algorithm. Simulation results show that the method proposed has a good capability with features of precision, convergence and surmounting prematurity or local optimum, and is also effective and feasible for aerodynamic modeling from flight data.
Paper Publications
