Distributed cooperative cruise control for high‐speed trains with multi‐objective optimization
نویسندگان
چکیده
This paper proposes a novel cooperative cruise control strategy to jointly optimize the energy consumption and ride comfort for multiple high-speed trains. The is constructed by combining consensus algorithm potential function achieve synchronization of train speed keep safe tracking interval. A multi-objective optimal trains constituted following error, comfort. non-dominated quick sorting (NSGA-II) used find global Pareto-optimal solutions obtain gains, which trade-offs between riding asymptotic stability proposed proved strictly. simulation results verify that can effectively reduce improve simultaneously when compared with existing methods.
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ژورنال
عنوان ژورنال: Iet Control Theory and Applications
سال: 2022
ISSN: ['1751-8644', '1751-8652']
DOI: https://doi.org/10.1049/cth2.12331