控制理论(社会学)
控制器(灌溉)
弹道
补偿(心理学)
控制工程
整体滑动模态
计算机科学
Lyapunov稳定性
滑模控制
跟踪(教育)
李雅普诺夫函数
观察员(物理)
死区
理论(学习稳定性)
控制(管理)
工程类
非线性系统
人工智能
天文
机器学习
物理
地质学
海洋学
生物
量子力学
教育学
心理学
精神分析
农学
作者
Arshad Rauf,Umair Javaid,Muhammad Ilyas,Awais Gul Khan
标识
DOI:10.1177/01423312251316140
摘要
This paper focuses on tracking trajectory for robotic manipulator, considering external disruptions and internal uncertainties. Robotic manipulators are highly versatile and efficient, finding extensive applications in both industry and research. Accurate control is vital for these manipulators to work properly. But, system uncertainties and disturbances make achieving this accuracy challenging. The proposed controller can manage system uncertainties and disturbances, making it reliable and effective for real-world use. An elegant control approach that combines an integral terminal sliding surface with an observer to achieve chattering-free control, is proposed. Moreover, Lyapunov stability theory is used to prove that it can globally track robotic systems in finite-time. This controller offers clear advantages: it is easy to implement, ensures smooth operation without chattering, achieves fast response, and maintains high tracking accuracy. The simulation results demonstrate that the proposed algorithm is effective in terms of tracking accuracy and resilience.
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