Wang, Lu;
Hu, Manjiang;
Bian, Yougang;
Guo, Ge;
Li, Shengbo Eben;
Chen, Boli;
Zhong, Zhihua;
(2023)
Periodic Event-triggered Fault Detection for Safe Platooning Control of Intelligent and Connected Vehicles.
IEEE Transactions on Vehicular Technology
pp. 1-14.
10.1109/tvt.2023.3334430.
(In press).
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Abstract
Fault detection is not only a useful approach to guarantee the safety of a vehicle platooning system but also an indispensable part of functional safety for future connected automated vehicle development. This paper mainly concentrates on the network-based fault detection problem of a vehicle platoon with undirected topologies under a periodic event-triggered strategy (PETS). Firstly, we present a periodic event-triggered fault detection filter to generate a residual signal for this vehicle platoon subject to actuator faults and external disturbances, where PETS is employed to reduce bandwidth utilization and save communication resources. Secondly, by using the network-based fault detection filter, the vehicle platooning system, and a fault weighting system, a residual system is developed to formulate the design of the fault detection filter problem as an H∞ problem. Thirdly, based on Lyapunov-Krasovskii functionals, sufficient conditions are established to ensure that the residual system fulfills asymptotic stability with H∞ performance, together with a threshold is also designed for each vehicle to judge whether the fault happens or not. Finally, numerical examples and field experiments are conducted to verify our findings.
| Type: | Article |
|---|---|
| Title: | Periodic Event-triggered Fault Detection for Safe Platooning Control of Intelligent and Connected Vehicles |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/tvt.2023.3334430 |
| Publisher version: | https://doi.org/10.1109/TVT.2023.3334430 |
| 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. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10183135 |
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