Global Prescribed Performance Control for 2-D Plane Vehicular Platoons With Small Overshoot: A Fixed-Time Composite Sliding Mode Control Approach
The fixed-time control is investigated for an uncertain two-dimensional (2-D) planar vehicular platoon system with global prescribed performance. First, a novel fixed-time prescribed performance control (FxTPPC) method is designed to guarantee the tracking errors converge to the prescribed region with small overshoot inside a predefined time. Moreover, the restriction of PPC method that relies on the initial condition of tracking errors is also released, which means global PPC can be achieved. Then, a new control scheme, by virtue of the composite fixed-time sliding mode surface, is constructed for the third-order 2-D plane platooning system, such that the tracking errors, including distance errors and heading errors, approach to a predetermined region in a given time, while avoiding the singularity problem and improving the convergence rate of the system. In addition, fixed-time string stability and reachability of fixed-time prescribed performance are also achieved. Finally, by constructing numerical simulations and experiment studies, the validity of the proposed scheme is demonstrated in the end.
Authors
- Shixi Wen (ORCID: https://orcid.org/0000-0002-4285-2506)
- Ge Guo (ORCID: https://orcid.org/0000-0003-4752-4920)
- Zhenyu Gao (ORCID: https://orcid.org/0000-0003-0547-2691)
- Lu Zhang (ORCID: https://orcid.org/0000-0001-9924-0394)
- Zhongyang Wei
- Wei Liu (ORCID: https://orcid.org/0009-0001-6324-3830)
Institutions
- Dalian University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1109/tits.2025.3595130
- Citations
- 23
- Primary Topic
- Vehicle Dynamics and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 15.70
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hebei Province
- Key Laboratory of System Control and Information Processing