控制理论(社会学)
导纳
非线性系统
鲁棒控制
控制工程
自适应控制
计算机科学
机械手
控制(管理)
工程类
人工智能
物理
电阻抗
量子力学
电气工程
作者
Shubo Zhang,Zhong Chen,Xian‐Ming Zhang
摘要
ABSTRACT This paper focuses on achieving rapid convergence in finite time for robust trajectory tracking in robotic manipulators with unknown uncertainty bounds. To address the issues of excessive control torque and control reversal at the initial stage, a novel robust adaptive fast terminal sliding mode control (RAF‐TSMC) method is developed. The method ensures faster transient responses and higher steady‐state tracking accuracy and eliminates singularities while mitigating chattering effects. Additionally, to enhance the physical collaboration in human–robot interactions, a nonlinear admittance control method integrated with RAF‐TSMC is developed. Benefiting from adaptive compliance characteristics, this method improves the suppleness and flexibility of a human–robot interaction in uncertain environments. Finally, the effectiveness of the proposed controller is validated using a two‐link robotic manipulator subjected to uncertainties and external forces. The results demonstrate that the proposed RAF‐TSMC controller can effectively minimize tracking errors and convergence time, and the proposed nonlinear admittance control with RAF‐TSMC can enhance the flexibility and adaptability of the robot system.
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