控制理论(社会学)
整体滑动模态
稳健性(进化)
控制器(灌溉)
跟踪误差
计算机科学
滑模控制
工作区
反推
机器人
控制工程
自适应控制
工程类
控制(管理)
非线性系统
人工智能
物理
量子力学
生物
基因
化学
生物化学
农学
作者
Yuzhu Sun,Mien Van,Stephen McIlvanna,Seán McLoone,Dariusz J. Ceglarek
摘要
Abstract This article proposes a novel fixed‐time integral sliding mode controller for admittance control to enhance physical human‐robot collaboration. The proposed method combines the benefits of compliance to external forces of admittance control and high robustness to uncertainties of integral sliding mode control (ISMC), such that the system can collaborate with a human partner in an uncertain environment effectively. First, a fixed‐time sliding surface is applied in the ISMC to make the tracking error of the system converge within a fixed time regardless of the initial condition. Then, a fixed‐time backstepping controller (BSP) is integrated into the ISMC as the nominal controller to realize global fixed‐time convergence. Furthermore, to overcome the singularity problem, a nonsingular fixed‐time sliding surface is designed and integrated into the controller, which is useful for practical application. Finally, the proposed controller is validated for a two‐link robot manipulator with uncertainties and external human forces. The results show that the proposed controller is superior in the sense of both tracking error and convergence time, and at the same time, can comply with human motion in a shared workspace.
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