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Aerodynamic model-based robust adaptive control for close formation flight

机译:基于气动模型的近距离编队鲁棒自适应控制

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摘要

This paper presents an aerodynamic model-based robust adaptive control algorithm for close formation flight. The leader aircraft is assumed to be at level and straight flight which characterizes the most common scenario for close formation flight. The formation aerodynamic effects are assumed to be unknown, but an online formation aerodynamic model is available to predict those effects. In light of the online formation aerodynamic model, a robust adaptive control algorithm is thereafter developed on the follower aircraft to counteract the unknown formation aerodynamic effects and obtain highly accurate formation tracking performance. The proposed control algorithm is composed of a baseline controller and an integrator-augmented robust adaptive controller, which can efficiently deal with both matched and mismatched formation aerodynamic effects and external disturbances. The major advantage of the proposed design is that it can achieve at least ultimate bounded tracking control with certain transient performance guaranty. The efficiency and robustness of the proposed control design are eventually validated via numerical simulations of close formation flight at two different scenarios.
机译:本文提出了一种基于气动模型的鲁棒自适应控制算法,用于近距离编队飞行。假定领导飞机处于水平和直飞状态,这是近距离编队飞行最常见的情况。编队空气动力学效应被假定为未知,但是可以使用在线编队空气动力学模型来预测那些效应。根据在线编队空气动力学模型,此后在随动飞机上开发了鲁棒的自适应控制算法,以抵消未知的编队空气动力学影响并获得高精度的编队跟踪性能。提出的控制算法由基线控制器和积分器增强的鲁棒自适应控制器组成,可以有效地处理匹配和不匹配的地层空气动力效应和外部干扰。提出的设计的主要优点是,它可以在一定的瞬态性能保证下至少实现最终的有界跟踪控制。通过在两种不同情况下近距离编队飞行的数值模拟,最终验证了所提出的控制设计的效率和鲁棒性。

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