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Tube-Based Distributed Model Predictive Control for Connected Vehicle Platoons with Communication Delay
This paper studies the distributed longitudinal platoon control of connected vehicles in the presence of communication delays and external disturbances. We consider a group of connected vehicles that needs to maintain a constant distance within a bidirectional communication topology. The dynamics is...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | This paper studies the distributed longitudinal platoon control of connected vehicles in the presence of communication delays and external disturbances. We consider a group of connected vehicles that needs to maintain a constant distance within a bidirectional communication topology. The dynamics is modeled using third-order vehicle dynamics, incorporating external disturbances. The problem is solved by a tube-based distributed model predictive control (MPC) algorithm that integrates the MPC optimization, consensus protocol and error feedback control. Each vehicle computes its formation control based on information from its neighbors and uses online MPC optimization to guarantee the control performance. Communication delays are mitigated by a compensatory method involving data buffering and state prediction. Both state compensation errors and external disturbances are collectively processed as overall disturbances using the tube-based method. The effectiveness and robustness of the proposed control strategy are demonstrated through numerical simulations. |
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ISSN: | 1934-1768 |
DOI: | 10.23919/CCC63176.2024.10661443 |