Asymmetric Event‐Triggered Model Predictive Safety Control for Vehicle Platooning
Year: 2025
Type: article
Abstract: ABSTRACT It is a critical problem to improve safety for vehicle platooning systems. This article mainly discusses two issues that affect the safety of the controller. One issue is the communication safety of the controller. When the inter‐vehicle distance is larger or smaller than the desired inter‐vehicle distance, the system has different requirements for safety and interference reduction. It is well known that the reduction of triggered times can reduce the interference of the vehicle platooning system, further driving safety and communication frequency reduction are contradictory. For the interference reduction, an event‐triggered model predictive control (MPC) method with asymmetric design is presented to dramatically reduce the triggered times when the vehicle is in the safe area, and slightly or even not reduce the triggered times when it is in the dangerous area. The other issue is physical safety; if the controller is improperly designed, the vehicle is at risk of rear‐end collisions. Thus, the asymmetric weighting error MPC method is presented to design the controller more concerned with the input energy optimization when the vehicle is in the safe area, and pay more attention to the safety when it is in the dangerous area. Further, the accelarating/braking penalty MPC method is presented to avoid the frequent braking when the vehicle goes uphill and the frequent speeding up when it goes downhill. Both methods keep an enough minimal inter‐vehicle distance in the transient process of control to avoid rear‐end collision. Both issues are solved by the asymmetric designed method, and simulation results are provided to verify the effectiveness and advantages of the proposed methods in both information and physical safety.
DOI: 10.1049/itr2.70093
Authors: Yifan Gong, Zhicheng Li, Yang Wang
Institutions: Shenzhen City Polytechnic, Shenzhen Polytechnic University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,790
OpenAlex ID: W4415134145