Fixed-time safety tracking control of QUAV under external disturbances using robust high-order time-varying control barrier function

IF 6.6 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
ISA transactions Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI:10.1016/j.isatra.2026.01.014
Lan Duo, Hongtao Yin, Ping Fu, Ang Li
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引用次数: 0

Abstract

This study proposes a robust fixed-time safety control scheme for a quadrotor unmanned aerial vehicle (QUAV) operating in environments with obstacles and external disturbances. Firstly, a robust high-order time-varying control barrier function (R-HO-TV-CBF) is designed as an obstacle avoidance constraint. This method achieves robustness without relying about any prior assumptions on the bounds of the disturbance and its derivative, effectively handles dynamic obstacle avoidance, suppresses oscillation and ensures optimal trajectory tracking. Subsequently, a nonsingular fixed-time sliding mode control (NFxSMC) method is developed to guarantee fixed-time convergence, independent of the initial state. Finally, simulation results demonstrate the superior performance of the proposed scheme in obstacle avoidance, disturbance rejection and error convergence.
基于鲁棒高阶时变控制屏障函数的外部扰动下QUAV的固定时间安全跟踪控制。
针对具有障碍物和外界干扰的四旋翼无人机,提出了一种鲁棒固定时间安全控制方案。首先,设计了鲁棒高阶时变控制障碍函数(R-HO-TV-CBF)作为避障约束;该方法不依赖于对扰动及其导数边界的任何先验假设,实现了鲁棒性,有效地处理了动态避障,抑制了振荡,保证了最优轨迹跟踪。在此基础上,提出了一种非奇异固定时间滑模控制(NFxSMC)方法,以保证系统与初始状态无关的固定时间收敛性。仿真结果表明,该方法在避障、抗干扰和误差收敛方面具有较好的性能。
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
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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