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Multivariable adaptive control based consensus flight control system for UAVs formation

机译:基于多变量自适应控制的无人机编队共识飞行控制系统

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摘要

Formation flight contributes to improving the attack, reconnaissance and survival ability of the multiple unmanned aerial vehicles (UAVs). This paper studies a multivariable adaptive control based consensus flight method for UAVs formation. A majority of existing research is focused on the leader-following consensus problem assuming that only the parameters of followers are uncertain. However, they do not consider the leader dynamic uncertainty and the unknown external disturbances. Therefore, this paper addresses the problem of the UAVs consensus flight control with parametric uncertainties and unknown external disturbances for both the leader and follower. A multivariable model reference adaptive control (MRAC) based consensus flight control scheme is designed for UAVs formation, which enables the follower UAV to track the leader UAV. The stability of the multivariable MRAC based consensus flight control system is analyzed. Simulation results show that the proposed adaptive consensus flight control scheme has stronger robustness and adaptivity than the fixed control scheme. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:编队飞行有助于提高多种无人机的攻击,侦察和生存能力。本文研究了一种基于多变量自适应控制的无人机形成共识飞行方法。假设只有跟随者的参数不确定,大多数现有研究都集中在领导者跟随共识问题上。但是,他们没有考虑领导者动态不确定性和未知的外部干扰。因此,本文解决了无人机的共识飞行控制问题,其参数不确定性和未知的外部干扰对于领导者和跟随者而言。基于无人机的编队设计了基于多变量模型参考自适应控制(MRAC)的共识飞行控制方案,使随动无人机能够跟踪前导无人机。分析了基于多变量MRAC的共识飞行控制系统的稳定性。仿真结果表明,所提出的自适应共识飞行控制方案具有比固定控制方案更强的鲁棒性和适应性。 (C)2019 Elsevier Masson SAS。版权所有。

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