欠驱动
终端滑动模式
控制理论(社会学)
稳健性(进化)
李雅普诺夫函数
Lyapunov稳定性
趋同(经济学)
鲁棒控制
计算机科学
滑模控制
机器人
控制(管理)
工程类
非线性系统
控制系统
物理
人工智能
量子力学
生物化学
经济增长
基因
电气工程
经济
化学
作者
Kamal Rsetam,Zhenwei Cao,Zhihong Man
标识
DOI:10.1109/tsmc.2021.3096835
摘要
Flexible joint robot (FJR) manipulators can offer many attractive features over rigid manipulators, including light weight, safe operation, and high power efficiency. However, the tracking control of the FJR is challenging due to its inherent problems, such as underactuation, coupling, nonlinearities, uncertainties, and unknown external disturbances. In this article, a terminal sliding mode control (TSMC) is proposed for the FJR system to guarantee the finite-time convergence of the systems output, and to achieve the total robustness against the lumped disturbance and estimation error. By using two coordinate transformations, the FJR dynamics is turned into a canonical form. A cascaded finite-time sliding mode observer (CFTSMO) is constructed to estimate states and lumped disturbance in a finite time based on two measurable states, which not only attenuates the measurement noise but also reduces the peaking phenomenon. The closed-loop stability and the finite-time convergence are rigorously proved by using Lyapunov theorem. The upper bound of the finite convergence time is derived for the reaching and sliding phase. Comparative study is conducted experimentally in real time on the FJR manipulator to verify the effectiveness of the proposed control method.
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