{"title":"Fixed-time safety tracking control of QUAV under external disturbances using robust high-order time-varying control barrier function","authors":"Lan Duo, Hongtao Yin, Ping Fu, Ang Li","doi":"10.1016/j.isatra.2026.01.014","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"169 ","pages":"Pages 246-262"},"PeriodicalIF":6.6000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057826000273","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
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.
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.