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Robust Bidirectional Platoon Control for Mesh Stability of Vehicular Systems With Uncertain Kinematics and Dynamics
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Publication Year
2024-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Transactions on Intelligent Vehicles
Keyword
Adaptive integral sliding mode disturbance observer (AISMDOB)bidirectional platoon controlcoupled spacing error dynamicscutting-corner behaviormesh stabilityvehicular systems with uncertain kinematics and dynamics
Mesh Keyword
Adaptive integral sliding mode disturbance observerBidirectional platoon controlCoupled spacing error dynamicCutting cornersCutting-corner behaviorDisturbance observerError dynamicsIntegral sliding modeKinematics and dynamicsMesh stabilitiesPlatoon controlsSpacing errorsUncertain dynamicsUncertain kinematicsVehicular system with uncertain kinematic and dynamicVehicular systems
All Science Classification Codes (ASJC)
Automotive EngineeringControl and OptimizationArtificial Intelligence
Abstract
This study introduces an adaptive integral sliding mode disturbance observer (AISMDOB)-based robust bidirectional platoon control method, aiming to ensure mesh stability in vehicular systems. Most existing platoon control studies only focus on error propagation stability in either the longitudinal or lateral direction, neglecting the uncertainties in kinematics and dynamics of vehicular systems. The study proposes new coupled spacing error dynamics derived from vehicle kinematics and extended look-ahead-based coupled spacing errors to ensure both the longitudinal and lateral error propagation stability (that is, mesh stability) and are subsequently utilized to develop the novel AISMDOB, which improves the existing integral sliding mode disturbance observers (ISMDOBs) by incorporating adaptive estimation of unknown disturbance bounds while preserving their advantages. The AISMDOB-based platoon control method is then proposed using both robust kinematic and dynamic controllers to effectively compensate for the kinematic disturbances and dynamic model uncertainties, thereby reducing chattering phenomenon and ensuring the asymptotic convergence of spacing and velocity errors. Additionally, the proposed method can prevent cutting-corner behaviors during cornering maneuvers by utilizing the coupled spacing error dynamics. Simulation and experimental results verify the effectiveness of the proposed method through comparison with ISMDOB-based, sliding mode control (SMC)-based, and previous extended look-ahead-based methods.
ISSN
2379-8858
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34024
DOI
https://doi.org/10.1109/tiv.2024.3373766
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Article
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Chwa, Dongkyoung Image
Chwa, Dongkyoung좌동경
Department of Electrical and Computer Engineering
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