Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (6): 1343-1352.doi: 10.16182/j.issn1004731x.joss.21-0066

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Fuzzy Super-twisting Second Order Sliding Mode Trajectory Tracking Control for Robotic Manipulator

Baolin Du(), Dachang Zhu(), Yihua Pan   

  1. School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
  • Received:2021-01-22 Revised:2021-03-21 Online:2022-06-30 Published:2022-06-16
  • Contact: Dachang Zhu E-mail:15119698824@163.com;zdc98998@gzhu.edu.cn

Abstract:

A fuzzy super-twisting second order sliding mode control method is proposed for the uncertainties of the model error and external disturbance on the trajectory tracking accuracy of robotic manipulator. Based on the dynamic model of the robotic, a new non-singular terminal sliding mode manifold is designed, and an improved super-twisting algorithm is used to design the second order sliding mode controller. In order to solve the problem that the matching disturbance can only be compensated under the condition of the known disturbance boundary in the sliding mode control, the fuzzy logic algorithm is used to carryout the online compensation for uncertainty of the system. The stability of the closed-loop control system is guaranteed by Lyapunov theory. The simulation and experiment results show that the proposed controller can track the trajectory accurately under the uncertainty of the robotic and can effectively suppress the chattering phenomenon of the system.

Key words: second order sliding mode control, fuzzy reasoning algorithm, uncertain robotic manipulator, trajectory tracking

CLC Number: