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Dual quaternion-based moving target trajectory tracking adaptive sliding mode control for robotic manipulator

conference contribution
posted on 2024-08-19, 13:56 authored by Tianqi Chen, Liang Sun, Jingjing JiangJingjing Jiang

This article focuses on the moving target trajectory tracking control problem for robotic manipulator. The dynamics models of the rigid-body moving target and the manipulator end-effector based on the unit dual quaternion are firstly established. Then, the relative motion dynamics equation is deduced according to the arithmetic rules of dual quaternion.

Further, an adaptive sliding mode controller is put forward to guarantee that the error between the pose of the rigidbody moving target and the pose of manipulator end-effector asymptotically converges to zero, where the upper bound on the norm of the uncertainty in the second-order differential error dynamics equation is estimated online by adaptive law. It is ensured via the Lyapunov theory that the asymptotic stability of the closed-loop system. Numerical simulation validates the theoretical consequences.

Funding

National Key R&D Program of China (No. 2023YFF090620104)

National Natural Science Foundation of China (No. 62373038)

Fundamental Research Funds for the Central Universities (No. FRF-IDRY-GD22-002)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Source

2024 IEEE International Conference on Systems, Man, and Cybernetics

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Publisher statement

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2024-07-15

Language

  • en

Location

Sarawak, Malaysia

Event dates

6th October 2024 - 10th October 2024

Depositor

Dr Jingjing Jiang. Deposit date: 2 August 2024

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