Nonlinear extended state observer based control for the teleoperation of robotic systems with flexible joints

Author:

Yan Yongli1,Liu Fucai2,Ren Teng3,Ding Li14

Affiliation:

1. Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100083, China

2. The Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

3. School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870, China

4. School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China

Abstract

<abstract> <p>The control of robot manipulator pose is significantly complicated by the uncertainties arising from flexible joints, presenting substantial challenges in incorporating practical operational constraints. These challenges are further exacerbated in teleoperation scenarios, where factors such as synchronization and external disturbances further amplify the difficulties. At the core of this research is the introduction of a pioneering teleoperation controller, ingeniously integrating a nonlinear extended state observer (ESO) with the barrier Lyapunov function (BLF) while effectively accommodating a steady time delay. The controller in our study demonstrates exceptional proficiency in accurately estimating uncertainties arising from both flexible joints and external disturbances using the nonlinear ESO. Refined estimates, in conjunction with operational constraints of the system, are integrated into our BLF-based controller. Consequently, a synchronized control mechanism for teleoperation is achieved, exhibiting promising performance. Importantly, our experimental findings provide substantial evidence that our proposed approach effectively reduces the tracking error of the teleoperation system to within 0.02 rad. This advancement highlights the potential of our controller in significantly enhancing the precision and reliability of teleoperated robot manipulators.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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