| Citation: | LIN Junting, QIU Xiaohui, LI Maolin. Collaborative Braking Control of Virtual Coupling Trains Based on Soft Actor-Critic Algorithm[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20240312 |
Traditional train operation control systems usually adopt a maximum braking control strategy during emergency braking; however, when this strategy is applied to virtual coupling, it may lead to collisions among train units. Considering the heterogeneity of virtual coupling train units, different braking rates of train units, and different safe spacings, a collaborative braking control method based on the Soft Actor-Critic (SAC) algorithm for virtual coupling trains in emergency braking scenarios is designed and analyzed. First, a train safety braking model in a relative coordinate system is constructed based on the running speed of the preceding train within the virtual coupling, the spacing between adjacent trains, and the train's own braking performance, and the safe speed limit of the train is obtained. Second, an operating environment is built according to the train safety braking model, and a braking control model is designed using a multi-train SAC algorithm. The state space and action space of each train unit are determined, and the reward function is designed with the safe speed limit generated by the safety braking model in the relative coordinate system as a constraint. Finally, taking the Beijing Capital Airport Express line and its vehicles as an example, the multi-train SAC algorithm is validated and compared with the maximum braking control strategy and the minimum braking control strategy. The results show that compared with the other two traditional control strategies, the collaborative braking model can not only stop safely before the hazardous point but also ensure spacing safety during braking, thereby improving the operational safety and efficiency of the urban rail transit system.
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