飞行试验
控制理论(社会学)
空气动力学
最佳位置
飞行模拟器
卡尔曼滤波器
蒙特卡罗方法
电梯
航空航天工程
扩展卡尔曼滤波器
计算机科学
模拟
工程类
控制(管理)
人工智能
统计
数学
速滑
作者
Marcin Brodecki,Kamesh Subbarao
出处
期刊:Journal of Guidance Control and Dynamics
[American Institute of Aeronautics and Astronautics]
日期:2014-08-02
卷期号:38 (6): 1083-1096
被引量:26
摘要
A formation flight control system that addresses the unique environment encountered by aircraft flying in formation and in the upwash of the leading aircraft that leads to a scenario with minimum induced drag at the trailing aircraft (sweet spot) has been designed. To test the control system, a simulation environment that adequately represents the aerodynamic coupling effects between aircraft flying in formation and implements an incremental nonlinear dynamic inversion-based formation flight control system has been created. Since the exact position of the sweet spot is not known or measured, the research presented in this paper uses an advanced extremum-seeking algorithm that uses an extended Kalman filter to estimate the wind gradients to automatically steer the trailing vehicle toward the sweet spot. Monte Carlo simulations for two and three aircraft formations have shown that the algorithm has the ability to consistently find the sweet spot and is robust to errors due to turbulence.
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