Plug-and-play distributed estimation method for running state of high-speed train

Abstract

The invention discloses a plug-and-play distributed estimation method for the running state of a high-speed train. The method comprises the following steps: considering the condition that the high-speed train formation has inter-vehicle communication, analyzing the actual configuration condition of vehicle-mounted sensors of the high-speed train and the inter-vehicle information interaction condition, starting from an actual kinematics model of the high-speed train, constructing a running state space model of a high-speed train formation system, carrying out the state visibility analysis on the train formation state information, combining a leader following consistency strategy and a plug-and-play strategy, and enabling each train to estimate the current running state of the train formation in real time by utilizing local sensor measurement information of each train and communication interaction information with neighbor trains. According to the method, the defects of a centralized estimation method are overcome, it can be theoretically guaranteed that the high-speed train formation effectively monitors the train running state in real time under the conditions that the high-speed train formation is influenced by vehicle characteristics, passenger capacity and other factors and emergencies exist, and a guarantee is provided for cooperative and safe running of trains.

Description

technical field [0001] The invention relates to the field of monitoring the running state of high-speed trains, in particular to a plug-and-play distributed estimation method for the running state of high-speed trains. Background technique [0002] With the gradual improvement of national rail transit infrastructure, high-speed railway has become one of the primary choices for public travel due to its advantages of fast, convenient and comfortable, and plays an important role in my country's economic construction. The safe and coordinated operation of high-speed trains is the highest goal of railway transportation. How to monitor the running status of high-speed train formations in real time and effectively in the complex, fast and changeable high-speed railway operating environment, information interaction, and real-time strong disturbances provides a basis for the train coordinated operation control process. More reliable, stable and accurate information on train running s...

AI Technical Summary

Problems solved by technology

[0003] At present, for the estimation of the running state of high-speed train formations under the condition of vehicle-to-vehicle communication, most estimation methods start from the traditional centralized perspective. The centralized estimator collects the sensor measurement information of all trains in the train formation and performs a unified There are many problems in this process, including: 1) The communication burden is heavy. In the centralized estimation, only when the sensor measurement information of all the trains in the formation is sent to the estimator can the train Estimation of formation driving state, this process consumes a lot of communication resources and has high requirements on the communication network; 2) The calculation is large, the processing of all train sensor measurement information and the update of estimation are concentrated on one estimator, and the estimation 3) Poor robustness, once the centralized estimator fails or is attacked and fails, it will directly affect the stability of the train formation system; 4) It is not flexible, and the estimated parameters are determined by a unique The unified design of the centralized estimator of , which makes it unable to cope with the change of members in the train formation

However, the operation process of high-speed trains is affected by factors such as vehicle characteristics, line characteristics, weather conditions, passenger capacity, etc., as well as frequent emergencies. It has the characteristics of strong nonlinearity and real-time strong disturbance. From the above analysis, it can be seen that the centralized estimation method cannot meet Requirements for real-time monitoring of train running status in high-speed train operating environment

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