Finite-Time Disturbance Compensation for Hierarchical Formation of Dual AGVs in Smart Ports
This paper proposes an integrated formation control framework with a finite-time nonlinear disturbance observer (FT-NDO) for automated guided vehicles (AGVs) operating in port environments, where constrained workspace, narrow formation spacing, and complex external disturbances pose significant challenges. An adaptive leader–follower formation strategy with dynamic inter-vehicle spacing is developed to enhance maneuverability during turning. Within a hierarchical control structure that decouples lateral and longitudinal dynamics, two sliding mode controllers (SMCs) are designed: (a) a lateral SMC that prioritizes heading accuracy, limiting yaw angle error to within ±2°; and (b) a nonsingular terminal SMC (NTSMC) for longitudinal control, improving error convergence speed compared to conventional SMC. An FT-NDO is further incorporated into both control loops to estimate and compensate for external disturbances in real time, achieving a disturbance estimation accuracy of over 95% and significantly attenuating the impact of environmental disturbances. Validation through simulation and physical experiment of a dual-AGV formation in a realistic port scenario demonstrates that the proposed approach restricts formation deviation to 0.015 m and maintains stable operation under various disturbance conditions. This study provides a practical solution for dual-AGV collaborative transportation in spatially constrained and dynamically disturbed environments, with direct implications for improving operational efficiency and safety in port logistics.
Authors
- Hui Li (ORCID: https://orcid.org/0000-0001-9198-3951)
- Qiang Zhang (ORCID: https://orcid.org/0000-0003-3776-9799)
- Dudu Guo (ORCID: https://orcid.org/0009-0000-9844-5451)
- Zhengfang Xu
- Bo Yuan
Institutions
- Wuhan Polytechnic University (CN)
- Xinjiang University (CN)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2026-06-24
- DOI
- https://doi.org/10.3390/jmse14131166
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province