Skip to main content

Research Repository

Advanced Search

Decentralized Fault Estimation and Distributed Fault-tolerant Tracking Control Co-design for Sensor Faulty Multi-agent Systems with Bidirectional Couplings

Liu, Chun; Yu, Zhengyan; Patton, Ron J.

Authors

Chun Liu

Zhengyan Yu



Abstract

This study proposes a co-design framework of decentralized fault estimation and distributed fault-tolerant tracking control schemes of Lipschitz nonlinear multi-agent systems with external disturbances and unpredicted sensor faults. To begin with, the sensor fault is actively hidden in the extended state through augmented transformation, and the decentralized unknown input observer based on extended dynamics is applied in synchronously estimating system state and sensor fault. Then, the updated link-based fault-tolerant tracking control protocol is proposed by virtue of the estimated information from estimation dynamics and the relative output signal from neighboring agents in a distributed fashion. The proposed co-designed algorithm guarantees the state consensus tracking property and overcomes the bi-directional couplings between the estimation and tolerance systems. Simulation example of multi-machine power systems verifies the effectiveness of the proposed co-designed algorithm.

Citation

Liu, C., Yu, Z., & Patton, R. J. (2023). Decentralized Fault Estimation and Distributed Fault-tolerant Tracking Control Co-design for Sensor Faulty Multi-agent Systems with Bidirectional Couplings. International journal of control, automation, and systems, 21, 810-819. https://doi.org/10.1007/s12555-021-1038-4

Journal Article Type Article
Acceptance Date Apr 18, 2022
Online Publication Date Feb 11, 2023
Publication Date 2023
Deposit Date Oct 16, 2023
Publicly Available Date Feb 12, 2024
Journal International Journal of Control, Automation and Systems
Print ISSN 1598-6446
Electronic ISSN 2005-4092
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 21
Pages 810-819
DOI https://doi.org/10.1007/s12555-021-1038-4
Public URL https://hull-repository.worktribe.com/output/4202254

Files




You might also like



Downloadable Citations