Sep 2026· Mathematics· Vol 14, pp. 3144· 0 citations
Abstract
Formations of fixed-wing unmanned aerial vehicles (UAVs) must maintain mission-level coordination despite actuator degradation, bias faults, model uncertainty, wind disturbances, and command limits. This study presents a mission-oriented formation-recovery framework. Acceptable relative position and velocity performance is represented by an ellipsoidal tolerance set, and resilient formation recovery time (RFRT) is the elapsed time from fault onset to the first permanent re-entry into that set. The controller generates relative demand commands that are reconstructed from the parent limited command and then clipped componentwise. A second-order edge-based extended state observer, driven by the relative limited command, estimates the physical edge fault–disturbance mismatch, while the command-saturation residual is retained explicitly in the closed-loop analysis. A distributed fault-tolerant controller combines linear recovery feedback, observer-based compensation, and a continuous robust term. The analysis uses a finite Lyapunov energy-jump inequality at step-fault instants and an upper-right Dini derivative at saturation breakpoints to establish uniform ultimate boundedness, a sufficient recovery-set inclusion condition, and an RFRT upper bound. In the one-leader–four-follower baseline simulation, permanent re-entry occurs at 22.3313 s, corresponding to an RFRT of 2.3313 s. Relative to Edge-ESO-FTC, the proposed method reduces the post-fault peak metric by 61.2%, RFRT by 25.2%, cumulative position deviation by 54.6%, and out-of-bounds duration by 67.7%.
Automatic carrier landing of fixed-wing UAVs remains challenging under deck motion, carrier airwake, gusts, and actuator faults. This paper proposes a robust flexible predefined-time prescribed performance control (RFPTPPC) framework with beneficial disturbance utilization (BDU). A control-oriented six-degree-of-freedo...
Zishuang Pan, Da-Zhao Yu, Wei Han et al.· Drones· 0 citations
Stable formation control of multiple unmanned aerial vehicles (UAVs) is extremely challenging in practical missions due to factors such as strong nonlinearity, parameter fluctuations, wind disturbances, and communication between UAVs under constrained conditions. This paper proposes a distributed formation stabilizatio...
Xin Fan, Wei-Min Liu, Yan Zhou et al.· 電腦學刊· 0 citations
This paper investigates the pursuit-evasion game problem for multiple unmanned aerial vehicles (UAVs) and autonomous underwater vehicles (AUVs) in the presence of actuator faults and performance constraints. The main contribution is the development of a reinforcement learning (RL)-based fault-tolerant formation-surroun...
Hang Xiong, Ying Zhang· ISA transactions· 0 citations
This paper investigates the attitude trajectory tracking problem of fixed-wing unmanned aerial vehicles (UAVs) subject to time-varying full-state constraints and unknown disturbances. To address the strong nonlinear coupling and aerodynamic uncertainties inherent in fixed-wing UAV dynamics, a robust control framework t...
Yu-Nuo Cheng, Xin Ning, Zheng Wang et al.· Proceedings of the Instituti...· 0 citations
Vectored-thrust cross-domain robots must maintain accurate six-DOF motion under strong nearshore wave disturbances and strict actuator saturation/rate limits. Under such conditions, conventional controller-allocator separation can create a command-execution mismatch: the motion controller evolves based on an ideal gene...
The collaboration between UAV and UGV will greatly liberate manpower and improve the production efficiency of animal husbandry. The autonomous recovery of UAV is important for the whole collaboration system, especially when it meets with unexpected UAV faults and wind turbulence. Therefore, a model reference adaptive...
Yi-Xuan Xue, Qian Wang, Teng Cao· Asian journal of control· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.