Name
Title | ||
|---|---|---|
A Novel Trajectory Tracking Control with Modified Supertwisting Sliding Mode for Human-Robot Cooperation Manipulator in Assembly Line |
Abstract | ||
|---|---|---|
In this paper, the trajectory tracking problem of industrial manipulator with fixed periodic external force on human-robot cooperative assembly line is studied. An advanced fuzzy adaptive supertwisting sliding mode control (FASTSMC) algorithm is proposed to realize the rapid convergence and continuous control of nonlinear control system. In order to enhance the robustness of the system, an arctangent terminal sliding mode surface is designed to deal with the concentrated uncertain disturbance. The supertwisting method is used to overcome the chattering problem in the control law. The fuzzy adaptive technique is used to compensate the centralized disturbance with unknown upper bound. A stiffness identification model is designed to estimate the deviation of the manipulator under external force. Finally, the feasibility of the proposed control scheme is verified by a simulation example of a 4-DOF manipulator. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1155/2022/1822670 | JOURNAL OF SENSORS |
DocType | Volume | ISSN |
Journal | 2022 | 1687-725X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingyu Wang | 1 | 0 | 0.34 |
| Anna Wang | 2 | 18 | 8.04 |
| Dazhi Wang | 3 | 0 | 0.34 |
| Zhiyu Liu | 4 | 16 | 10.55 |
| Yufei Qi | 5 | 0 | 0.34 |