气动弹性
计算流体力学
空气动力学
时域
频域
计算机科学
空气动力
控制理论(社会学)
机械
数学
物理
数学分析
控制(管理)
计算机视觉
人工智能
出处
期刊:Journal of Aircraft
[American Institute of Aeronautics and Astronautics]
日期:2007-05-01
卷期号:44 (3): 888-897
被引量:75
摘要
The paper presents a novel approach to modeling unsteady aerodynamic forces in response to traveling gust excitation. Time domain convolution, Auto-Regressive Moving Average (ARMA), and state-space models are presented, that are identified based on CFD input-output data. These models are compact and computationally efficient, and reproduce the CFD response highly accurately in the subsonic flow regime. The proposed models can be straightforwardly integrated into the time-domain formulation of the aeroelastic equation of motion in response to gust excitation. They can be used for both discrete and continuous gust response, as presented in the manuscript.
科研通智能强力驱动
Strongly Powered by AbleSci AI