Event-Triggered Fault-Tolerant Tracking Control for Autonomous Ground Vehicle via Descriptor Reduced-Order Observer

Autonomous ground vehicles (AGVs) play an important role in transportation, environmental exploration, and so on. However, they may suffer from inevitable sensor and actuator faults which degenerate the setpoint tracking performance. Within this context, this paper focuses on the issues of deploying event-triggered fault-tolerant controller based on reduced-order descriptor observer. First, allowing for the AGV kinematics and the setpoint tracking objective, we design a reduced-order descriptor sliding mode observer to synchronously reconstruct the tracking error states as well as physical faults. Then, we develop an event-triggered communication scheme in the control center side, leading to the tolerant controller by virtue of reconstructed tracking error dynamics with an improved transmission efficiency. In addition, we perform the strict theoretical guarantee of both estimation stability and tracking stability, based on which, the estimator and controller gains in conjunction with event trigger parameters are codesigned. Finally, the correctness and effectiveness of theoretical derivation are examined by the experimental study of setpoint tracking of AGV.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-03-14
DOI
https://doi.org/10.1109/tits.2025.3548150
Citations
3
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
3.64

Funders

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article

Event-Triggered Fault-Tolerant Tracking Control for Autonomous Ground Vehicle via Descriptor Reduced-Order Observer

Su Zhang, Renjie Ma, Peng Shi, Yan Yu
3 citations
IEEE Transactions on Intelligent Transportation Systems
Advanced Control Systems Optimization
3.64
article

Event-Triggered Fault-Tolerant Tracking Control for Autonomous Ground Vehicle via Descriptor Reduced-Order Observer

Su Zhang, Renjie Ma, Peng Shi, Yan Yu
article en
3 citations

Abstract

Autonomous ground vehicles (AGVs) play an important role in transportation, environmental exploration, and so on. However, they may suffer from inevitable sensor and actuator faults which degenerate the setpoint tracking performance. Within this context, this paper focuses on the issues of deploying event-triggered fault-tolerant controller based on reduced-order descriptor observer. First, allowing for the AGV kinematics and the setpoint tracking objective, we design a reduced-order descriptor sliding mode observer to synchronously reconstruct the tracking error states as well as physical faults. Then, we develop an event-triggered communication scheme in the control center side, leading to the tolerant controller by virtue of reconstructed tracking error dynamics with an improved transmission efficiency. In addition, we perform the strict theoretical guarantee of both estimation stability and tracking stability, based on which, the estimator and controller gains in conjunction with event trigger parameters are codesigned. Finally, the correctness and effectiveness of theoretical derivation are examined by the experimental study of setpoint tracking of AGV.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(7)
Harbin Institute of Technology (CN), State Key Laboratory of Robotics and Systems (CN), The University of Adelaide (AU)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Heilongjiang Province, Heilongjiang Provincial Postdoctoral Science Foundation, Australian Research Council, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 8%
Advanced Control Systems Optimization
3.64
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