死区
控制理论(社会学)
机器人
接头(建筑物)
事件(粒子物理)
跟踪(教育)
计算机科学
控制(管理)
空格(标点符号)
自由空间
工程类
人工智能
物理
结构工程
地质学
心理学
教育学
海洋学
光学
量子力学
操作系统
作者
Jian Li,Yuqi Liang,Lingling Zhu,Zhaojing Wu
标识
DOI:10.1177/01423312241228483
摘要
This paper is devoted to the event-triggered practical tracking control of a class of uncertain free-flying flexible-joint space robots (FFSRs) under unknown dead-zone input. The remarkable characteristics of the paper are reflected by the coarse information on the reference signal since its time derivatives are not necessarily available for feedback, and moreover, by the serious uncertainties which contain unknown nonlinear dynamics, parameters without known nominal parts, and the external disturbance. Then, the traditional control schemes on this topic become incapable. For this, a novel event-triggered control scheme is proposed by a skilful use of adaptive technique. Specifically, a dynamic gain with a smart choice of its updating law is incorporated into the vectorial backstepping framework, which not only overcomes the serious uncertainties contained in the system and dead-zone input but also handles the influence of sampling errors. Consequently, two adaptive event-triggered controllers are designed which ensure that all the states of the resulting closed-loop system are bounded while the system output practically tracks the reference signal, along with the exclusion of the Zeno phenomenon. Finally, an example is given to validate the effectiveness of the proposed theoretical results.
科研通智能强力驱动
Strongly Powered by AbleSci AI