Consensus Tracking Control of Multiple Unmanned Aerial Vehicles Subject to Distinct Unknown Delays

Machines Pub Date : 2024-05-14 DOI:10.3390/machines12050337
Sandy-Natalie Campos-Martínez, O. Hernández-González, M. Guerrero-Sánchez, Guillermo Valencia-Palomo, B. Targui, F. López‐Estrada
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Abstract

This article deals with the consensus tracking problem for multi-agent systems (MAS) under the influence of unknown time-varying delays. Each agent of the MAS is a quadrotor unmanned aerial vehicle (UAV) represented as a linear continuous-time system. The main objective of this paper is the stabilization of multi-agent systems where the control input is affected by unknown time-varying delays, which are assumed to be upper-bounded, and where these bounds are not required to be known. The proposed observer-based control scheme guarantees the consensus tracking of multi-UAV systems with the desired H∞ performance, which adds a further level of mitigation of unknown delays present in MAS systems by minimizing the H∞ norm, which measures the maximum gain from the disturbance to the controlled output of the system. For each UAV agent, an unknown input observer is employed to isolate the unknown time-varying delays in the state estimation process. With the use of an unknown input observer-based consensus tracking control, sufficient conditions are derived to ensure that all follower UAVs can reach a consensus with the leader, despite the presence of distinct unknown time-varying delays. The stability of the proposed scheme is proven using Lyapunov theory for the leader and follower agents. Finally, numerical examples are provided to illustrate the effectiveness of the proposed method.
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受不同未知延迟影响的多个无人飞行器的一致跟踪控制
本文讨论了在未知时变延迟影响下的多代理系统(MAS)的共识跟踪问题。多代理系统的每个代理都是四旋翼无人飞行器(UAV),用线性连续时间系统表示。本文的主要目标是控制输入受未知时变延迟影响的多代理系统的稳定,这些延迟被假定为上界,而这些上界并不需要已知。所提出的基于观测器的控制方案保证了多无人机系统以理想的 H∞ 性能进行一致跟踪,通过最小化 H∞ 准则(衡量从干扰到系统受控输出的最大增益),进一步减轻了 MAS 系统中存在的未知延迟。对于每个无人飞行器代理,采用未知输入观测器来隔离状态估计过程中的未知时变延迟。通过使用基于未知输入观测器的共识跟踪控制,得出了充分的条件,以确保尽管存在不同的未知时变延迟,所有跟随者无人机都能与领导者达成共识。利用领导者和跟随者的 Lyapunov 理论证明了所提方案的稳定性。最后,还提供了数值示例来说明所提方法的有效性。
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