Finite-Time Fault-Tolerant Consensus of UAVs: A Switching Event-Triggered Fuzzy Control Scheme

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-09-05 DOI:10.1109/TASE.2024.3447277
Hongjing Liang;Lei Chen;Xinsong Yang;Tingwen Huang
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Abstract

In finite-time consensus tracking (FCT) missions of unmanned aerial vehicles (UAVs), faults in aircraft actuators are crucial factors causing tracking precision degradation. In order to solve this problem, this paper develops a fuzzy fault-tolerant cooperative control scheme for UAVs to achieve FCT missions with predefined precision. Compared to existing results, the settling time formulation approach of consensus errors is significantly simplified, which facilitates operators to preset the settling time. Then a switching event-triggered mechanism is designed to flexibly change the transmission frequency of control signals, enabling the limited communication resources of UAVs to be reasonably consumed before and after the settling time. Based on the Lyapunov stability theory, it is proved that all signals of systems are bounded, and consensus errors can achieve prescribed precision in a finite time. Moreover, Zeno behavior is excluded. Finally, a simulation study demonstrates the efficiency and feasibility of the designed control scheme under various uncertainties. Note to Practitioners—In the existing FCT control schemes for UAVs, the formulation approaches of settling time depend on the structure of the communication network and the initial states of the aircraft, which hampers these schemes implemented in large-scale UAVs control tasks. How to effectively simplify the formulation approach of settling time has crucial practical significance and research value. In addition, since the communication bandwidth of UAVs is limited, the existing control strategies introduce event-triggered mechanisms to decrease the communication burden. However, adopting a single event-triggered mechanism cannot flexibly change the transmission frequency of control signals, which may make the limited communication resources fail to be reasonably consumed before and after the settling time. In order to solve the above problems, this paper develops a switching event-triggered FCT control scheme for UAVs, where the designed trigger mechanism can flexibly change the transmission frequency of control signals. Meanwhile, the settling time can be directly formulated following the wishes of operators.
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无人飞行器的有限时间容错共识:切换事件触发的模糊控制方案
在无人机有限时间一致跟踪任务中,飞机执行机构故障是导致跟踪精度下降的关键因素。为了解决这一问题,本文提出了一种无人机模糊容错协同控制方案,以实现具有预定义精度的FCT任务。与已有结果相比,共识误差的沉降时间计算方法得到了显著简化,便于操作者预先设定沉降时间。然后设计了切换事件触发机制,灵活改变控制信号的传输频率,使无人机有限的通信资源在设定时间前后得到合理消耗。基于李雅普诺夫稳定性理论,证明了系统的所有信号都是有界的,一致误差在有限时间内可以达到规定的精度。此外,芝诺行为被排除在外。最后,通过仿真研究验证了所设计的控制方案在各种不确定因素下的有效性和可行性。从业者注意:在现有的无人机FCT控制方案中,沉降时间的制定方法依赖于通信网络的结构和飞机的初始状态,这阻碍了这些方案在大规模无人机控制任务中的实施。如何有效简化沉降时间的制定方法具有重要的现实意义和研究价值。此外,由于无人机的通信带宽有限,现有的控制策略引入了事件触发机制来减少通信负担。然而,采用单一事件触发机制无法灵活改变控制信号的传输频率,可能导致有限的通信资源在设定时间前后无法得到合理利用。为了解决上述问题,本文开发了一种切换事件触发的无人机FCT控制方案,设计的触发机构可以灵活地改变控制信号的传输频率。同时,沉降时间可根据操作人员的意愿直接制定。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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