Cooperative control method and system under optimal combination of group train operation index

CN120156572BActive Publication Date: 2026-07-03CHINA SHENHUA ENERGY CO LTD +1

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: CHINA SHENHUA ENERGY CO LTD
Filing Date: 2025-04-24
Publication Date: 2026-07-03

AI Technical Summary

Technical Problem

Traditional train operation control systems struggle to achieve precise control in high-density operation scenarios, especially when faced with nonlinear and time-varying conditions, where their response is insufficient. Furthermore, model predictive control methods are computationally expensive, have poor real-time performance, and are prone to performance collapse due to assumption violations.

Method used

A comprehensive index model judgment module is adopted. The optimal combination of control target index weights for real-time train operation is calculated through neural network. The main controller and distributed controller are designed, and smooth correction is performed by combining the forward train status information to optimize the control effect.

Benefits of technology

It improves the real-time performance and reliability of train operation control, adapts to stable and smooth control in different environments, reduces computational load, reduces the accumulation of chain errors, and enhances safety and control stability.

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Abstract

The application belongs to the technical field of train operation control, and provides a group train operation index combination optimal collaborative control method and system. The method comprises the following steps: obtaining a target position and speed curve, operation state data and group line data of a target train, and calculating a target control quantity; obtaining the position of the target train in the group train, determining a comprehensive index mode according to the position, and obtaining an index optimal weight combination; based on the target control quantity and the index optimal weight combination, dividing and setting a sub-parameter control target and an optimal weight through a main controller; based on the sub-parameter control target and the optimal weight, calculating a distributed control law, and obtaining a control output; and based on the position of the target train, performing a redundancy comparison based on the train data of a front train, and if a preset condition is met, performing a control smoothing correction on the control output. The group train operation index combination optimal collaborative control method improves the real-time performance and reliability of the control effect.

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