Dynamic Cooperative Control Method for Highly Maneuverable Unmanned Vehicle Formations Based on Adaptive Multi-Mode Steering

Traditional front-wheel-steering (FWS) unmanned vehicles frequently encounter maneuverability bottlenecks in confined spaces or during rapid formation changes due to inherent kinematic limitations. To mitigate these constraints, this study proposes an adaptive multi-mode (AMM) cooperative formation control framework tailored for four-wheel independent drive and steering (4WIDS) platforms. The methodology constructs a unified planner based on the virtual structure concept, integrated with an autonomous steering-mode selector. By synthesizing real-time mission requirements with longitudinal and lateral tracking errors, the system dynamically switches between crab steering, four-wheel counter-steering (4WCS), and conventional FWS modes to optimize spatial utilization. Validated within a seven-vehicle MATLAB/Simulink environment, simulation results demonstrate that the crab-steering mode significantly reduces relocation time for small lateral adjustments by eliminating redundant heading changes, whereas FWS and 4WCS modes are preferentially selected to ensure stability during high-speed or large-span maneuvers. These findings confirm that the proposed AMM strategy effectively reconciles the trade-off between agility and stability, providing a robust solution for complex cooperative maneuvering tasks.

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Publication Details

Journal
Machines
Published
2026-01-08
DOI
https://doi.org/10.3390/machines14010080
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Dynamic Cooperative Control Method for Highly Maneuverable Unmanned Vehicle Formations Based on Adaptive Multi-Mode Steering

Hongjun Yu, Huijun Yue, Jie Gu, Jicheng Fan et al.
Machines
Vehicle Dynamics and Control Systems
article

Dynamic Cooperative Control Method for Highly Maneuverable Unmanned Vehicle Formations Based on Adaptive Multi-Mode Steering

Hongjun Yu, Huijun Yue, Jie Gu, Jicheng Fan, Zheng Li, Yongshuo Li
article en

Abstract

Traditional front-wheel-steering (FWS) unmanned vehicles frequently encounter maneuverability bottlenecks in confined spaces or during rapid formation changes due to inherent kinematic limitations. To mitigate these constraints, this study proposes an adaptive multi-mode (AMM) cooperative formation control framework tailored for four-wheel independent drive and steering (4WIDS) platforms. The methodology constructs a unified planner based on the virtual structure concept, integrated with an autonomous steering-mode selector. By synthesizing real-time mission requirements with longitudinal and lateral tracking errors, the system dynamically switches between crab steering, four-wheel counter-steering (4WCS), and conventional FWS modes to optimize spatial utilization. Validated within a seven-vehicle MATLAB/Simulink environment, simulation results demonstrate that the crab-steering mode significantly reduces relocation time for small lateral adjustments by eliminating redundant heading changes, whereas FWS and 4WCS modes are preferentially selected to ensure stability during high-speed or large-span maneuvers. These findings confirm that the proposed AMM strategy effectively reconciles the trade-off between agility and stability, providing a robust solution for complex cooperative maneuvering tasks.

MachinesVol. 14(1)
Beijing University of Technology (CN), China Academy of Launch Vehicle Technology (CN)
Openalex Percentile: Top 94%
Vehicle Dynamics and Control Systems
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