Disturbance observer-based fault-tolerant control for robotic systems with guaranteed prescribed performance

Huang, Haifeng; He, Wei; Li, Jiashu; Xu, Bin; Yang, Chenguang; Zhang, Weicun

Abstract

The actuator failure compensation control problem of robotic systems possessing dynamic uncertainties has been investigated in this paper. Control design against partial loss of effectiveness (PLOE) and total loss of effectiveness (TLOE) of the actuator are considered and described, respectively, and a disturbance observer (DO) using neural networks is constructed to attenuate the influence of the unknown disturbance. Regarding the prescribed error bounds as time-varying constraints, the control design method based on barrier Lyapunov function (BLF) is used to strictly guarantee both the steady-state performance and the transient performance. A simulation study on a two-link planar manipulator verifies the effectiveness of the proposed controllers in dealing with the prescribed performance, the system uncertainties, and the unknown actuator failure simultaneously. Implementation on a Baxter robot gives an experimental verification of our controller.

Citation

Huang, H., He, W., Li, J., Xu, B., Yang, C., & Zhang, W. (2022). Disturbance observer-based fault-tolerant control for robotic systems with guaranteed prescribed performance. IEEE Transactions on Cybernetics, 52(2), 772-783. https://doi.org/10.1109/tcyb.2019.2921254

• Journal Article Type: Article
• Acceptance Date: May 21, 2019
• Online Publication Date: Apr 29, 2020
• Publication Date: 2022-02
• Deposit Date: May 3, 2020
• Publicly Available Date: May 4, 2020
• Journal: IEEE Transactions on Cybernetics
• Print ISSN: 2168-2267
• Electronic ISSN: 2168-2275
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 52
• Issue: 2
• Pages: 772-783
• DOI: https://doi.org/10.1109/tcyb.2019.2921254
• Keywords: Control and Systems Engineering; Human-Computer Interaction; Electrical and Electronic Engineering; Software; Information Systems; Computer Science Applications
• Public URL: https://uwe-repository.worktribe.com/output/5954274