检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:陀希龙 赵迎鑫[1,2] 郝伟一 张朋 陈克勤[1,2] TUO Xilong;ZHAO Yingxin;HAO Weiyi;ZHANG Peng;CHEN Keqin(Beijing Institute of Precision Mechatronics and Controls,Beijing,100076;Innovation Center for Control Actuators,Beijing,100076)
机构地区:[1]北京精密机电控制设备研究所,北京100076 [2]控制执行机构技术创新中心,北京100076
出 处:《导弹与航天运载技术(中英文)》2024年第2期42-50,共9页Missiles and Space Vehicles
基 金:国家自然科学基金面上项目(52375063)。
摘 要:针对运载火箭伺服系统飞行数据存在高频信息缺失的问题,提出了一种基于小波多分辨率分析的高频特征复原方法。首先,通过小波多分辨率分析提取伺服系统地面热试车试验数据的特征;然后,利用摆角速度信号与高频特征之间的关联性,基于提出的特征匹配方法对飞行数据高频特征进行预测;最后,对信号线性叠加以实现特征融合,从而完成恢复飞行数据高频信息的流程。试验验证表明,数据复原结果与基准数据相比具有一致的换向频率规律,所提出的特征复原方法能够有效恢复飞行数据缺失的高频特征,为获取航天伺服产品真实飞行工作剖面特征提供了数据支持。In order to solve the issue of missing high-frequency information of flight data in servo system of launch vehicles,a high-frequency feature restoration method based on wavelet multi-resolution analysis is proposed.Initially,features are extracted from ground hot firing test data through wavelet multi-resolution analysis.Subsequently,leveraging the correlation between the angular velocity signal and high-frequency features,a feature matching approach is put forward for predicting the high-frequency features of the flight data.Finally,the linear superposition method is conducted to achieve feature fusion,thus completing the feature restoration process of the flight data.The experimental verification is carried out.It shows that,compared to the baseline data,the restoration results have a consistent commutation frequency pattern,which imply that the proposed feature restoration method is feasible and effective.The study can provide data support for obtaining the characteristics of actual flight profile for aerospace servo products.
关 键 词:特征复原 飞行数据 多分辨率分析 伺服系统 运载火箭
分 类 号:V433[航空宇航科学与技术—航空宇航推进理论与工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.38