Predefined time formation control for glide multiple aircraft under event-triggered mechanism

IF 3.9 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2024-07-18 DOI:10.1002/acs.3880
Yuehui Ji, Zhaotao Ke, Yu Song, Qiang Gao, Junjie Liu
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Abstract

This article investigates the event-triggered predefined time gliding formation control for multiple aircraft based on the leader-follower mode. For the banked-to-turn (BTT) aircraft, The main technical challenge is to realize a predefined time control from the aerodynamic control surfaces to the direction of flight speed under an event-triggered mechanism. First, under the leader-follower mode, the desired tracking commands for the leader's trajectory inclination angle and trajectory declination angle are designed, with followers set to track the leader's outputs. Second, for each BTT aircraft, the inner and outer loop control system is constructed, and the virtual angle of attack and flight path angle laws are formulated to decouple the inner-outer structure. For the outer loop system, the predefined time-stabilized of trajectory inclination angle and trajectory declination angle is achieved by introducing the time scale function. Concerning the inner-loop system, a sliding mode surface with predefined time stabilization is constructed, and a predefined time extended state observer (PTESO) is designed to estimate the total disturbances. An event-triggered predefined time control is proposed for the aerodynamic control surfaces to realize the aircraft's flight direction tracking. Finally, the stability of the closed-loop system and the avoidance of the Zeno phenomenon for each aircraft is proved using Lyapunov's theory. The simulation results verify the effectiveness of the proposed formation control in the article.

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事件触发机制下多飞机滑翔的预定时间编队控制
摘要 本文研究了基于领队-跟队模式的多架飞机事件触发预定时间滑翔编队控制。对于倾斜转弯(BTT)飞机,主要技术难题是在事件触发机制下实现从气动控制面到飞行速度方向的预定义时间控制。首先,在领导者-跟随者模式下,设计出领导者轨迹倾斜角和轨迹倾角的理想跟踪指令,并设置跟随者跟踪领导者的输出。其次,为每架 BTT 飞机构建内环和外环控制系统,并制定虚拟攻角和飞行轨迹角定律,以解耦内环-外环结构。对于外环系统,通过引入时间尺度函数实现了轨迹倾斜角和轨迹倾角的预定时间稳定。关于内环系统,构建了一个具有预定义时间稳定的滑模面,并设计了一个预定义时间扩展状态观测器(PTESO)来估计总干扰。为气动控制面提出了一种事件触发的预定义时间控制,以实现飞机的飞行方向跟踪。最后,利用李亚普诺夫理论证明了闭环系统的稳定性,并避免了每架飞机的泽诺现象。仿真结果验证了文章中提出的编队控制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
16.10%
发文量
163
审稿时长
5 months
期刊介绍: The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.
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