摘要
针对大型无人机飞行试验,探讨了无人机气动导数的参数辨识过程。根据无人机飞行试验数据特点及模态激励方式,分析并实践了相应的数据处理过程,修正了试飞数据;结合参数的相关性分析,建立了合适的气动模型,进行了气动导数辨识并验证了部分导数,辨识结果是真实可信的。所研究内容对验证和优化无人机空气动力和飞控设计进而合理地评价无人机的性能和品质具有重要意义。
For large UAV flight test,this paper discusses the procedure of UAV aerodynamic parameter identification. According to UAV data characteristics and mode exciting mode,it analyzes and pre-processes the corresponding data in order to correct the data. Combined with data correlation analysis,it establishes proper aerodynamic model and performs the parameter identification. A certain parameter could be verified,therefore,we consider the results could be believed. The contents are of great significance to verify and optimize aerodynamic and flight control design of UAV,and to reasonably evaluate performance and quality of UAV.
出处
《飞行力学》
CSCD
北大核心
2017年第4期77-80,共4页
Flight Dynamics
关键词
无人机
参数辨识
数据预处理
相关性分析
UAV
parameter identification
data preprocessing
correlation analysis
