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Actuator fault estimation for a class of Euler-Lagrange Systems using Super-twisting Observers

Chen, Lejun; Spurgeon, Sarah; Jiang, Bin; (2025) Actuator fault estimation for a class of Euler-Lagrange Systems using Super-twisting Observers. IEEE Transactions on Automation Science and Engineering 10.1109/tase.2025.3604035. (In press). Green open access

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Abstract

This paper develops an adaptive actuator fault estimation scheme for a class of Euler-Lagrange systems with relative degree two, which allows the loss of actuator effectiveness and generalised velocities to be estimated. In particular, a super-twisting observer is created for Euler-Lagrange systems with multiple degrees of freedom and the ‘equivalent output error injection’ signals, associated with the super-twisting sliding motion, are exploited to reconstruct the loss of effectiveness for all the actuators in an adaptive sense. The proposed scheme is then applied to a six-link underactuated snake robot model and the simulation results demonstrate the efficacy of the scheme.

Type: Article
Title: Actuator fault estimation for a class of Euler-Lagrange Systems using Super-twisting Observers
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tase.2025.3604035
Publisher version: https://doi.org/10.1109/tase.2025.3604035
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Sliding mode observers, Fault diagnosis, Euler-Lagrange systems, snake robots, Fault tolerant control
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10213132
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