Safety-Critical Trajectory Tracking for Mobile Robots with Guaranteed Performance

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Wentao Wu;Di Wu;Yibo Zhang;Shukang Chen;Weidong Zhang
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引用次数: 0

Abstract

Dear Editor, This letter considers a collision-free trajectory tracking problem for performance-guaranteed mobile robots (MRs) subject to obstacles. We propose a safety-critical performance-guaranteed trajectory tracking method based on control barrier functions (CBFs). First, an auxiliary system is established to generate the non-negative signals for inflexible bounds such that the performance constraints are not violated when avoiding obstacles. Next, the desired guidance laws are devised to evolve tracking errors within performance space by the error transformation technique. Then, a position-heading CBF based on a heading collision-free principle is developed. Under the CBF framework, the safety-critical angle speed guidance law is solved by a quadratic program with respect to position-heading CBF constraints. It is proved that all errors can converge and evolve within a prescribed performance space, and the closed-loop system is ensured to be safe. Finally, simulation and experiment results are given to verify the effectiveness and feasibility of the proposed control scheme.
移动机器人的安全关键轨迹跟踪性能保证
亲爱的编辑,这封信探讨了有性能保证的移动机器人(MR)在遇到障碍物时的无碰撞轨迹跟踪问题。我们提出了一种基于控制障碍函数(CBF)的安全关键性能保证轨迹跟踪方法。首先,建立一个辅助系统,为非灵活边界生成非负信号,这样在避开障碍物时就不会违反性能约束。接着,设计出所需的制导法则,通过误差变换技术在性能空间内演化跟踪误差。然后,基于航向无碰撞原则开发了位置-航向 CBF。在 CBF 框架下,安全关键角速度制导法则通过与位置-航向 CBF 约束相关的二次方程程序求解。结果证明,所有误差都能在规定的性能空间内收敛和演化,并确保闭环系统是安全的。最后,给出了仿真和实验结果,以验证所提控制方案的有效性和可行性。
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
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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