火力与指挥控制2023，Vol.48Issue(12)：108-113,120,7.DOI:10.3969/j.issn.1002-0640.2023.12.016
一种数据驱动的飞行仿真参数辨识方法
A Novel Data-driven Approach to Parameter Identification for Flight Simulation
摘要
Abstract
At present,the empirical formulas of flight parameters were not accurately fitted for different aircraft types,and the traditional black-box algorithms can't express the flight parameter correlation quantitatively.To address the above problems,a flight simulation parameter identification method based on Quick Access Recorder(QAR)data is proposed,based on the polynomial fitting algorithm,the proportion of the weight coefficient assignment input parameters in the algorithm is increased,the correlation coefficients of Spearman Rank is utilized to calculate the different weight coefficients of input parameters.The binary polynomial is designed and the optimal polynomial coefficients are solved based on the improved algorithm.The simulation results show that the method can effectively reduce the simulation errors.关键词
QAR数据/参数辨识/多项式拟合/权重系数/斯皮尔曼等级相关系数Key words
QAR data/parameter identification/polynomial fitting/weight coefficients/correlation coefficients of Spearman rank分类
信息技术与安全科学引用本文复制引用
耿宏,李沅锴,钱文高..一种数据驱动的飞行仿真参数辨识方法[J].火力与指挥控制,2023,48(12):108-113,120,7.基金项目
天津市虚拟仿真实验教学建设项目(XF2019003) （XF2019003）
中央高校基本科研业务费项目中国民航大学专项基金资助项目(3122022067) （3122022067）
