摘要
翼伞系统动力学参数在飞行过程中具有强非线性特点,很难构建精确的动力学模型,导致操稳特性分析和控制律设计具有很大难度。文章在翼伞系统六自由度动力学模型的基础上,采用Sobol灵敏度分析的方法,筛选出能够对翼伞系统动力学特性进行有效分析的主要动力学参数,然后,利用衰减记忆递推最小二乘法在线辨识这些动力学参数,通过对每个数据进行指数加权,减小前期扰动对辨识结果的影响。仿真结果表明,文章研究的方法具有较好的辨识结果。
The dynamic parameters of the parafoil aircraft system have strong nonlinear characteristics in flight process,so it is difficult to build an accurate dynamic model,which makes it very difficult to analyze the stability characteristics and design the control law.In this paper,based on the six degree of freedom dynamics of parafoils system,the main dynamic parameters which can effectively analyze the dynamic characteristics of the parafoil aircraft are selected by Sobol sensitivity analysis method.Then,the main dynamic parameters are identified on-line by using the attenuation memory recursive least squares method(AMR-LSM).Each data is exponentially weighted by this method,so as to reduce the influence of the previous disturbance on the identification results.The simulation results show that the identification method can achieve good identification results both in ideal environment and random disturbance environment.
作者
赵令公
贺卫亮
杜钰舰
ZHAO Linggong;HE Weiliang;DU Yujian(Beihang University,Beijing 102206,China)
出处
《航天返回与遥感》
CSCD
北大核心
2022年第1期26-39,共14页
Spacecraft Recovery & Remote Sensing
关键词
动力学参数辨识
索波尔灵敏度分析
衰减记忆递推最小二乘法
翼伞系统
parameter identification
Sobol sensitivity analysis
Attenuation memory recursive least square method
Parafoil system
