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Observer-based Adaptive Backstepping Control for Time-varying Formation Tracking of Multi-UAV System

机译:基于观测器的自适应反步控制用于多无人机系统时变编队跟踪

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In this paper, a novel observer-based adaptive backstepping control scheme is proposed for time-varying formation tracking of multiple unmanned aerial vehicle (multi-UAV) system consisting of multiple nonlinear UAVs with unknown parameters and immeasurable states. The communication network among the UAVs is represented by a directed graph and a part of the UAVs cannot obtain the reference information directly. A state observer is designed to estimate the immeasurable states. An adaptive control scheme is developed by employing backstepping control strategy and the designed state observer. It is proved that the proposed scheme can guarantee that the UAVs maintain the formation shape while tracking the reference trajectory. Besides, all the signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB). Simulation example is provided to show the effectiveness of the proposed scheme.
机译:本文提出了一种新颖的基于观测器的自适应反推控制方案,该方案用于对由多个未知参数和不可估量状态的多个非线性无人机组成的多无人机系统进行时变编队跟踪。 UAV之间的通信网络由有向图表示,部分UAV无法直接获得参考信息。设计一个状态观察器来估计不可估量的状态。通过采用反推控制策略和设计的状态观测器,开发了一种自适应控制方案。实践证明,该方案可以保证无人机在跟踪参考轨迹的同时保持编队形状。此外,闭环系统的所有信号都是半全局一致的最终有界(SGUUB)。仿真实例表明了所提方案的有效性。

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