{"title":"Performance constrained trajectory tracking control for free-flying flexible-joint space robots based on adaptive sliding mode disturbance observer","authors":"Dingfeng Gao, Xiutao Gu, Liaoxue Liu, Yu Guo","doi":"10.1016/j.jfranklin.2025.107524","DOIUrl":null,"url":null,"abstract":"<div><div>Aiming at the trajectory tracking control with performance constraints and actuator saturation for free-flying flexible-joint space robots (FFSR) under uncertain external disturbance. In the framework of the command filter backstepping method, a composite controller combining tan-type barrier Lyapunov function (TBLF) and anticipatory activation anti-saturation (AAA) is proposed. A finite-time prescribed performance function (FPPF) is developed to improve the transient performances of trajectory tracking. In addition, an adaptive sliding mode disturbance observer (ASMDO) is designed to estimate the uncertain external disturbance, with a novel log-type barrier function based adaptive control law (LBFACL) to prevent successive monotonic increases in gain and mitigate the risk of gain tending to infinity at the regional boundary. The simulation results show that the trajectory tracking performance of FFSR system under the designed control scheme has fast convergence speed and high accuracy.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 4","pages":"Article 107524"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225000183","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the trajectory tracking control with performance constraints and actuator saturation for free-flying flexible-joint space robots (FFSR) under uncertain external disturbance. In the framework of the command filter backstepping method, a composite controller combining tan-type barrier Lyapunov function (TBLF) and anticipatory activation anti-saturation (AAA) is proposed. A finite-time prescribed performance function (FPPF) is developed to improve the transient performances of trajectory tracking. In addition, an adaptive sliding mode disturbance observer (ASMDO) is designed to estimate the uncertain external disturbance, with a novel log-type barrier function based adaptive control law (LBFACL) to prevent successive monotonic increases in gain and mitigate the risk of gain tending to infinity at the regional boundary. The simulation results show that the trajectory tracking performance of FFSR system under the designed control scheme has fast convergence speed and high accuracy.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.